99 results on '"Yankilevich P."'
Search Results
2. Retraction Note: Progesterone receptor assembly of a transcriptional complex along with activator protein 1, signal transducer and activator of transcription 3 and ErbB-2 governs breast cancer growth and predicts response to endocrine therapy
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Flaqué, María C. Díaz, Galigniana, Natalia M., Béguelin, Wendy, Vicario, Rocío, Proietti, Cecilia J., Russo, Rosalía Cordo, Rivas, Martín A., Tkach, Mercedes, Guzmán, Pablo, Roa, Juan C., Maronna, Esteban, Pineda, Viviana, Muñoz, Sergio, Mercogliano, María Florencia, Charreau, Eduardo H., Yankilevich, Patricio, Schillaci, Roxana, and Elizalde, Patricia V.
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- 2023
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3. Unsupervised Feature Selection for Tumor Profiles using Autoencoders and Kernel Methods
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Palazzo, Martin, Beauseroy, Pierre, and Yankilevich, Patricio
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Computer Science - Machine Learning ,Quantitative Biology - Genomics ,Quantitative Biology - Quantitative Methods ,Statistics - Machine Learning - Abstract
Molecular data from tumor profiles is high dimensional. Tumor profiles can be characterized by tens of thousands of gene expression features. Due to the size of the gene expression feature set machine learning methods are exposed to noisy variables and complexity. Tumor types present heterogeneity and can be subdivided in tumor subtypes. In many cases tumor data does not include tumor subtype labeling thus unsupervised learning methods are necessary for tumor subtype discovery. This work aims to learn meaningful and low dimensional representations of tumor samples and find tumor subtype clusters while keeping biological signatures without using tumor labels. The proposed method named Latent Kernel Feature Selection (LKFS) is an unsupervised approach for gene selection in tumor gene expression profiles. By using Autoencoders a low dimensional and denoised latent space is learned as a target representation to guide a Multiple Kernel Learning model that selects a subset of genes. By using the selected genes a clustering method is used to group samples. In order to evaluate the performance of the proposed unsupervised feature selection method the obtained features and clusters are analyzed by clinical significance. The proposed method has been applied on three tumor datasets which are Brain, Renal and Lung, each one composed by two tumor subtypes. When compared with benchmark unsupervised feature selection methods the results obtained by the proposed method reveal lower redundancy in the selected features and a better clustering performance.
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- 2020
4. Latent regularization for feature selection using kernel methods in tumor classification
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Palazzo, Martin, Yankilevich, Patricio, and Beauseroy, Pierre
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing ,Quantitative Biology - Genomics ,Statistics - Machine Learning - Abstract
The transcriptomics of cancer tumors are characterized with tens of thousands of gene expression features. Patient prognosis or tumor stage can be assessed by machine learning techniques like supervised classification tasks given a gene expression profile. Feature selection is a useful approach to select the key genes which helps to classify tumors. In this work we propose a feature selection method based on Multiple Kernel Learning that results in a reduced subset of genes and a custom kernel that improves the classification performance when used in support vector classification. During the feature selection process this method performs a novel latent regularisation by relaxing the supervised target problem by introducing unsupervised structure obtained from the latent space learned by a non linear dimensionality reduction model. An improvement of the generalization capacity is obtained and assessed by the tumor classification performance on new unseen test samples when the classifier is trained with the features selected by the proposed method in comparison with other supervised feature selection approaches.
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- 2020
5. Thiopurine 6TG treatment increases tumor immunogenicity and response to immune checkpoint blockade
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Loulieta Nazerai, Shona Caroline Willis, Patricio Yankilevich, Luca Di Leo, Francesca Maria Bosisio, Alex Frias, Corine Bertolotto, Jacob Nersting, Maria Thastrup, Soren Buus, Allan Randrup Thomsen, Morten Nielsen, Kristoffer Staal Rohrberg, Kjeld Schmiegelow, and Daniela De Zio
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Thiopurine ,6TG ,immune checkpoint inhibitors ,melanoma ,mouse model ,Immunologic diseases. Allergy ,RC581-607 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
ABSTRACTImmune-checkpoint inhibitors (ICI) are highly effective in reinvigorating T cells to attack cancer. Nevertheless, a large subset of patients fails to benefit from ICI, partly due to lack of the cancer neoepitopes necessary to trigger an immune response. In this study, we used the thiopurine 6-thioguanine (6TG) to induce random mutations and thus increase the level of neoepitopes presented by tumor cells. Thiopurines are prodrugs which are converted into thioguanine nucleotides that are incorporated into DNA (DNA-TG), where they can induce mutation through single nucleotide mismatching. In a pre-clinical mouse model of a mutation-low melanoma cell line, we demonstrated that 6TG induced clinical-grade DNA-TG integration resulting in an improved tumor control that was strongly T cell dependent. 6TG exposure increased the tumor mutational burden, without affecting tumor cell proliferation and cell death. Moreover, 6TG treatment re-shaped the tumor microenvironment by increasing T and NK immune cells, making the tumors more responsive to immune-checkpoint blockade. We further validated that 6TG exposure improved tumor control in additional mouse models of melanoma. These findings have paved the way for a phase I/II clinical trial that explores whether treatment with thiopurines can increase the proportion of otherwise treatment-resistant cancer patients who may benefit from ICI therapy (NCT05276284).
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- 2023
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6. Correction: MiR-16 mediates trastuzumab and lapatinib response in ErbB-2-positive breast and gastric cancer via its novel targets CCNJ and FUBP1
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Venturutti, L., Russo, R. I. Cordo, Rivas, M. A., Mercogliano, M. F., Izzo, F., Oakley, R. H., Pereyra, M. G., De Martino, M., Proietti, C. J., Yankilevich, P., Roa, J. C., Guzmán, P., Cortese, E., Allemand, D. H., Huang, T. H., Charreau, E. H., Cidlowski, J. A., Schillaci, R., and Elizalde, P. V.
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- 2023
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7. Retraction Note: Progesterone receptor assembly of a transcriptional complex along with activator protein 1, signal transducer and activator of transcription 3 and ErbB-2 governs breast cancer growth and predicts response to endocrine therapy
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María C. Díaz Flaqué, Natalia M. Galigniana, Wendy Béguelin, Rocío Vicario, Cecilia J. Proietti, Rosalía Cordo Russo, Martín A. Rivas, Mercedes Tkach, Pablo Guzmán, Juan C. Roa, Esteban Maronna, Viviana Pineda, Sergio Muñoz, María Florencia Mercogliano, Eduardo H. Charreau, Patricio Yankilevich, Roxana Schillaci, and Patricia V. Elizalde
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2023
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8. Gene function prediction in five model eukaryotes exclusively based on gene relative location through machine learning
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Flavio Pazos Obregón, Diego Silvera, Pablo Soto, Patricio Yankilevich, Gustavo Guerberoff, and Rafael Cantera
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Medicine ,Science - Abstract
Abstract The function of most genes is unknown. The best results in automated function prediction are obtained with machine learning-based methods that combine multiple data sources, typically sequence derived features, protein structure and interaction data. Even though there is ample evidence showing that a gene’s function is not independent of its location, the few available examples of gene function prediction based on gene location rely on sequence identity between genes of different organisms and are thus subjected to the limitations of the relationship between sequence and function. Here we predict thousands of gene functions in five model eukaryotes (Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Mus musculus and Homo sapiens) using machine learning models exclusively trained with features derived from the location of genes in the genomes to which they belong. Our aim was not to obtain the best performing method to automated function prediction but to explore the extent to which a gene's location can predict its function in eukaryotes. We found that our models outperform BLAST when predicting terms from Biological Process and Cellular Component Ontologies, showing that, at least in some cases, gene location alone can be more useful than sequence to infer gene function.
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- 2022
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9. Gene function prediction in five model eukaryotes exclusively based on gene relative location through machine learning
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Pazos Obregón, Flavio, Silvera, Diego, Soto, Pablo, Yankilevich, Patricio, Guerberoff, Gustavo, and Cantera, Rafael
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- 2022
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10. Genomic Detection of Schmallenberg Virus, Israel
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Adi Behar, Omer Izhaki, Asael Rot, Tzvika Benor, Mario Yankilevich, Monica Leszkowicz-Mazuz, and Jacob Brenner
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Schmallenberg virus ,genomic detection ,Culicoides ,viruses ,Israel ,vector-borne infections ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
We discuss genomic detection of Schmallenberg virus in both Culicoides midges and affected ruminants during June 2018–December 2019, demonstrating its circulation in Israel. This region is a geographic bridge between 3 continents and may serve as an epidemiologic bridge for potential Schmallenberg virus spread into Asia.
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- 2021
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11. A pan-cancer somatic mutation embedding using autoencoders
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Martin Palazzo, Pierre Beauseroy, and Patricio Yankilevich
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Autoencoder ,Kernel learning ,Cancer genomics ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of tumor data allows to research the complexity of cancer disease with machine learning methods. The large available repositories of high dimensional tumor samples characterised with germline and somatic mutation data requires advance computational modelling for data interpretation. In this work, we propose to analyze this complex data with neural network learning, a methodology that made impressive advances in image and natural language processing. Results Here we present a tumor mutation profile analysis pipeline based on an autoencoder model, which is used to discover better representations of lower dimensionality from large somatic mutation data of 40 different tumor types and subtypes. Kernel learning with hierarchical cluster analysis are used to assess the quality of the learned somatic mutation embedding, on which support vector machine models are used to accurately classify tumor subtypes. Conclusions The learned latent space maps the original samples in a much lower dimension while keeping the biological signals from the original tumor samples. This pipeline and the resulting embedding allows an easier exploration of the heterogeneity within and across tumor types and to perform an accurate classification of tumor samples in the pan-cancer somatic mutation landscape.
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- 2019
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12. An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach
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Flavio Pazos Obregón, Martín Palazzo, Pablo Soto, Gustavo Guerberoff, Patricio Yankilevich, and Rafael Cantera
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Synaptic genes ,Machine learning ,Temporal transcription profiles ,Gene function prediction ,Drosophila melanogaster ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having synaptic function to every protein-coding gene in Drosophila melanogaster. This approach resulted in the publication of a catalogue of 893 genes which we postulated to be very enriched in genes with a still undocumented synaptic function. Since then, the scientific community has experimentally identified 79 new synaptic genes. Here we use these new empirical data to evaluate our original prediction. We also implement a series of changes to the training scheme of our model and using the new data we demonstrate that this improves its predictive power. Finally, we added the new synaptic genes to the training set and trained a new model, obtaining a new, enhanced catalogue of putative synaptic genes. Results The retrospective analysis demonstrate that our original catalogue was significantly enriched in new synaptic genes. When the changes to the training scheme were implemented using the original training set we obtained even higher enrichment. Finally, applying the new training scheme with a training set including the 79 new synaptic genes, resulted in an enhanced catalogue of putative synaptic genes. Here we present this new catalogue and announce that a regularly updated version will be available online at: http://synapticgenes.bnd.edu.uy Conclusions We show that training an ensemble of machine learning classifiers solely with the whole-body temporal transcription profiles of known synaptic genes resulted in a catalogue with a significant enrichment in undiscovered synaptic genes. Using new empirical data provided by the scientific community, we validated our original approach, improved our model an obtained an arguably more precise prediction. This approach reduces the number of genes to be tested through hypothesis-driven experimentation and will facilitate our understanding of neuronal function. Availability http://synapticgenes.bnd.edu.uy
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- 2019
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13. Global site-specific neddylation profiling reveals that NEDDylated cofilin regulates actin dynamics
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Vogl, Annette M., Phu, Lilian, Becerra, Raquel, Giusti, Sebastian A., Verschueren, Erik, Hinkle, Trent B., Bordenave, Martín D., Adrian, Max, Heidersbach, Amy, Yankilevich, Patricio, Stefani, Fernando D., Wurst, Wolfgang, Hoogenraad, Casper C., Kirkpatrick, Donald S., Refojo, Damian, and Sheng, Morgan
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- 2020
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14. Asterias: a parallelized web-based suite for the analysis of expression and aCGH data
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Alibes, Andreu, Morrissey, Edward R., Canada, Andres, Rueda, Oscar M., Casado, David, Yankilevich, Patricio, and Diaz-Uriarte, Ramon
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Quantitative Biology - Genomics ,Quantitative Biology - Other Quantitative Biology - Abstract
Asterias (\url{http://www.asterias.info}) is an integrated collection of freely-accessible web tools for the analysis of gene expression and aCGH data. Most of the tools use parallel computing (via MPI). Most of our applications allow the user to obtain additional information for user-selected genes by using clickable links in tables and/or figures. Our tools include: normalization of expression and aCGH data; converting between different types of gene/clone and protein identifiers; filtering and imputation; finding differentially expressed genes related to patient class and survival data; searching for models of class prediction; using random forests to search for minimal models for class prediction or for large subsets of genes with predictive capacity; searching for molecular signatures and predictive genes with survival data; detecting regions of genomic DNA gain or loss. The capability to send results between different applications, access to additional functional information, and parallelized computation make our suite unique and exploit features only available to web-based applications., Comment: web based application; 3 figures
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- 2006
15. miRNome profiling of LSC-enriched CD34+CD38−CD26+ fraction in Ph+ CML-CP samples from Argentinean patients: a potential new pharmacogenomic tool
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María Sol Ruiz, María Belén Sánchez, Simone Bonecker, Carolina Furtado, Daniel Koile, Patricio Yankilevich, Santiago Cranco, María del Rosario Custidiano, Josefina Freitas, Beatriz Moiraghi, Mariel Ana Pérez, Carolina Pavlovsky, Ana Inés Varela, Verónica Ventriglia, Julio César Sánchez Ávalos, Irene Larripa, Ilana Zalcberg, José Mordoh, Peter Valent, and Michele Bianchini
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microRNAs ,metabolism ,leukemic stem cell ,leukemia ,CD26 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Chronic myeloid leukemia (CML) is a myeloid stem cell neoplasm characterized by an expansion of myeloid progenitor cells and the presence of BCR-ABL1 oncoprotein. Since the introduction of specific BCR-ABL1 tyrosine kinase inhibitors (TKI), overall survival has improved significantly. However, under long-term therapy patients may have residual disease that originates from TKI-resistant leukemic stem cells (LSC). In this work, we analyzed the miRNome of LSC-enriched CD34+CD38−CD26+ and normal hematopoietic stem cells (HSC) fractions obtained from the same chronic phase (CP) CML patients, and stem and progenitor cells obtained from healthy donors (HD) by next-generation sequencing. We detected a global decrease of microRNA levels in LSC-enriched CD34+CD38−CD26+ and HSC fractions from CML-CP patients, and decreased levels of microRNAs and snoRNAs from a genomic cluster in chromosome 14, suggesting a mechanism of silencing of multiple non-coding RNAs. Surprisingly, HSC from CML-CP patients, despite the absence of BCR-ABL1 expression, showed an altered miRNome. We confirmed by RT-qPCR that the levels of miR-196a-5p were increased more than nine-fold in CD26+ (BCR-ABL1+) vs. CD26− (BCR-ABL1−) CD34+CD38− fractions from CML-CP patients at diagnosis, and in silico analysis revealed a significant association to lipid metabolism and hematopoiesis functions. In the light of recent descriptions of increased oxidative metabolism in CML LSC-enriched fractions, these results serve as a guide for future functional studies that evaluate the role of microRNAs in this process. Metabolic vulnerabilities in LSCs open the road for new therapeutic strategies. This is the first report of the miRNome of CML-CP CD34+CD38− fractions that distinguishes between CD26+ (BCR-ABL1+) and their CD26− (BCR-ABL1-) counterparts, providing valuable data for future studies.
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- 2021
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16. Evaluation of T-Cell Responses Against Shared Melanoma Associated Antigens and Predicted Neoantigens in Cutaneous Melanoma Patients Treated With the CSF-470 Allogeneic Cell Vaccine Plus BCG and GM-CSF
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Enrique Podaza, Ibel Carri, Mariana Aris, Erika von Euw, Alicia Inés Bravo, Paula Blanco, Juan Manuel Ortiz Wilczyñski, Daniel Koile, Patricio Yankilevich, Morten Nielsen, José Mordoh, and María Marcela Barrio
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cutaneous melanoma ,CSF-470 allogeneic cell vaccine ,neoantigens ,tumor associated antigens ,melanoma immunotherapy ,Immunologic diseases. Allergy ,RC581-607 - Abstract
The CSF-470 vaccine consists of lethally-irradiated allogeneic cells derived from four cutaneous melanoma cell lines administered plus BCG and GM-CSF as adjuvants. In an adjuvant phase II study vs. IFN-α2b, the vaccine significantly prolonged the distant metastasis-free survival (DMFS) of stages IIB-IIC-III melanoma patients with evidence of the induction of immune responses against vaccine cells.Purpose: The aim of this study was to analyze the antigens against which the immune response was induced, as well as the T-helper profile and lytic ability of immune cells after CSF-470 treatment.Methods: HLA-restricted peptides from tumor-associated antigens (TAAs) were selected from TANTIGEN database for 13 evaluable vaccinated patients. In addition, for patient #006 (pt#006), tumor somatic variants were identified by NGS and candidate neoAgs were selected by predicted HLA binding affinity and similarity between wild type (wt) and mutant peptides. The patient‘s PBMC reactivity against selected peptides was detected by IFNγ-ELISPOT. T-helper transcriptional profile was determined by quantifying GATA-3, T-bet, and FOXP3 mRNA by RT-PCR, and intracellular cytokines were analyzed by flow cytometry. Autologous tumor cell lysis by PBMC was assessed in an in vitro calcein release assay.Results: Vaccinated patient‘s PBMC reactivity against selected TAAs derived peptides showed a progressive increase in the number of IFNγ-producing cells throughout the 2-yr vaccination protocol. ELISPOT response correlated with delayed type hypersensitivity (DTH) reaction to CSF-470 vaccine cells. Early upregulation of GATA-3 and Foxp3 mRNA, as well as an increase in CD4+IL4+cells, was associated with a low DMFS. Also, IFNγ response against 9/73 predicted neoAgs was evidenced in the case of pt#006; 7/9 emerged after vaccination. We verified in pt# 006 that post-vaccination PBMC boosted in vitro with the vaccine lysate were able to lyse autologous tumor cells.Conclusions: A progressive increase in the immune response against TAAs expressed in the vaccine and in the patient's tumor was induced by CSF-470 vaccination. In pt#006, we demonstrated immune recognition of patient's specific neoAgs, which emerged after vaccination. These results suggest that an initial response against shared TAAs could further stimulate an immune response against autologous tumor neoAgs.
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- 2020
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17. GenIO: a phenotype-genotype analysis web server for clinical genomics of rare diseases
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Daniel Koile, Marta Cordoba, Maximiliano de Sousa Serro, Marcelo Andres Kauffman, and Patricio Yankilevich
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Rare disease ,Exome sequencing ,Genome sequencing ,Clinical informatics ,Variant analysis ,Bioinformatics ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background GenIO is a novel web-server, designed to assist clinical genomics researchers and medical doctors in the diagnostic process of rare genetic diseases. The tool identifies the most probable variants causing a rare disease, using the genomic and clinical information provided by a medical practitioner. Variants identified in a whole-genome, whole-exome or target sequencing studies are annotated, classified and filtered by clinical significance. Candidate genes associated with the patient’s symptoms, suspected disease and complementary findings are identified to obtain a small manageable number of the most probable recessive and dominant candidate gene variants associated with the rare disease case. Additionally, following the American College of Medical Genetics and Genomics and the Association of Molecular Pathology (ACMG-AMP) guidelines and recommendations, all potentially pathogenic variants that might be contributing to disease and secondary findings are identified. Results A retrospective study was performed on 40 patients with a diagnostic rate of 40%. All the known genes that were previously considered as disease causing were correctly identified in the final inherit model output lists. In previously undiagnosed cases, we had no additional yield. Conclusion This unique, intuitive and user-friendly tool to assists medical doctors in the clinical genomics diagnostic process is openly available at https://bioinformatics.ibioba-mpsp-conicet.gov.ar/GenIO/.
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- 2018
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18. An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach
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Pazos Obregón, Flavio, Palazzo, Martín, Soto, Pablo, Guerberoff, Gustavo, Yankilevich, Patricio, and Cantera, Rafael
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- 2019
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19. A pan-cancer somatic mutation embedding using autoencoders
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Palazzo, Martin, Beauseroy, Pierre, and Yankilevich, Patricio
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- 2019
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20. An Exploration Tool for Quality Analysis in Targeted Sequencing Experiments
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Merino, G., Fresno, C., Koile, D., Yankilevich, P., Sendoya, J., Oliver, J., Llera, A., Fernández, E., MAGJAREVIC, Ratko, Editor-in-chief, Ładyzynsk, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, Braidot, Ariel, editor, and Hadad, Alejandro, editor
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- 2015
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21. von Hippel-Lindau mutants in renal cell carcinoma are regulated by increased expression of RSUME
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Tedesco, Lucas, Elguero, Belén, Pacin, David Gonilski, Senin, Sergio, Pollak, Cora, Garcia Marchiñena, Patricio A., Jurado, Alberto M., Isola, Mariana, Labanca, María J., Palazzo, Martin, Yankilevich, Patricio, Fuertes, Mariana, and Arzt, Eduardo
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- 2019
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22. MiR-16 mediates trastuzumab and lapatinib response in ErbB-2-positive breast and gastric cancer via its novel targets CCNJ and FUBP1
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Venturutti, L, Cordo Russo, R I, Rivas, M A, Mercogliano, M F, Izzo, F, Oakley, R H, Pereyra, M G, De Martino, M, Proietti, C J, Yankilevich, P, Roa, J C, Guzmán, P, Cortese, E, Allemand, D H, Huang, T H, Charreau, E H, Cidlowski, J A, Schillaci, R, and Elizalde, P V
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- 2016
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23. Changes in the TCRβ Repertoire and Tumor Immune Signature From a Cutaneous Melanoma Patient Immunized With the CSF-470 Vaccine: A Case Report
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Mariana Aris, Alicia Inés Bravo, María Betina Pampena, Paula Alejandra Blanco, Ibel Carri, Daniel Koile, Patricio Yankilevich, Estrella Mariel Levy, María Marcela Barrio, and José Mordoh
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cutaneous melanoma ,CSF-470 vaccine ,T-cell receptor β immune repertoire ,cancer immunogram ,tumor immune infiltration ,Immunologic diseases. Allergy ,RC581-607 - Abstract
The allogeneic therapeutic vaccine CSF-470 has demonstrated a significant benefit over medium-dose IFNα2b in the distant metastasis-free survival for stages IIB–IIC–III cutaneous melanoma patients in a randomized phase II/III clinical trial (CASVAC-0401, NCT01729663). At the end of the 2-year CSF-470 immunization protocol, patient #006 developed several lung and one subcutaneous melanoma metastases; this later was excised. In this report, we analyzed the changes throughout vaccination of immune populations in blood and in the tumor tissue, with special focus on the T-cell repertoire. Immunohistochemistry revealed a marked increase in CD8+, CD4+, and CD20+ lymphocytes infiltrating the metastasis relative to the primary tumor. Lymphocytes were firmly attached to dying-tumor cells containing Granzyme-B granules. Whole-exon sequencing assessment indicated a moderate-to-high tumor mutational burden, with BRAFV600E as the main oncogenic driver. Mutational signature presented large numbers of mutations at dipyrimidines, typical of melanoma. Relevant tumor and immune-related genes from the subcutaneous metastasis were addressed by RNA-Seq analysis, revealing expression of typical melanoma antigens and proliferative tumor-related genes. Stimulatory and inhibitory immune transcripts were detected as well as evidence of active T-cell effector function. Peripheral blood monitoring revealed an increase in CD4+ and CD8+ cells by the end of the immunization protocol. By CDR3-T-cell receptor β (TCRβ) sequencing, generation of new clones and an increase in oligoclonality was observed in the peripheral T-cells immune repertoire throughout immunization. A shift, with the expansion of selected preexisting and newly arising clones with reduction of others, was detected in blood. In tumor-infiltrating lymphocytes, prevalent clones (50%) were both new and preexisting that were expanded in blood following CSF-470 immunization. These clones persisted in time, since 2 years after completing the immunization, 51% of the clones present in the metastasis were still detected in blood. This is the first report of the modulation of the TCRβ repertoire from a melanoma patient immunized with the CSF-470 vaccine. After immunization, the changes observed in peripheral immune populations as well as in the tumor compartment suggest that the vaccine can induce an antitumor adaptive immune repertoire that can reach tumor lesions and persists in blood for at least 2 years.
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- 2018
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24. AMT SOUNDINGS IN THE DEAD BAND WITHIN THE CHUKOTKA REGION (RUSSIAN FAR EAST)
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E. Yu. Ermolin, O. Ingerov, A. A. Yankilevich, and N. N. Pokrovskaya
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Mining engineering. Metallurgy ,TN1-997 - Abstract
The article analyzes the amplitude spectra of audio magnetotelluric sounding (AMTs) data. Particular attention is focused on the frequency range from 1 to 5 kHz, which is called dead band. We analyzed the data of base stations used in the fieldwork during the summer and autumn seasons in 2013, 2014, and 2017. The area of work is located in the Chukotka Autonomous Area beyond the Arctic Circle. Previous researchers noted that a reliable signal in the dead band can only be obtained at nighttime. The authors of the article found that in Chukotka region in the daytime against the minimum signal within the dead band there is a local maximum at a frequency of 2.4 kHz. When registering a field for more than 3 hours during daytime, in most cases, it is possible to restore the frequencies of 2.2 and 2.6 kHz. These frequencies are reliable benchmarks, allowing in some cases to restore the AMT curve using the correlation between amplitude and phase. We have proposed ways to improve data quality in the dead band when measured during the daytime.
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- 2019
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25. RETRACTED ARTICLE: Progesterone receptor assembly of a transcriptional complex along with activator protein 1, signal transducer and activator of transcription 3 and ErbB-2 governs breast cancer growth and predicts response to endocrine therapy
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María C Díaz Flaqué, Natalia M Galigniana, Wendy Béguelin, Rocío Vicario, Cecilia J Proietti, Rosalía Cordo Russo, Martín A Rivas, Mercedes Tkach, Pablo Guzmán, Juan C Roa, Esteban Maronna, Viviana Pineda, Sergio Muñoz, María Florencia Mercogliano, Eduardo H Charreau, Patricio Yankilevich, Roxana Schillaci, and Patricia V Elizalde
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Progesterone Receptor ,Progestin ,T47D Cell ,BT474 Cell ,Proximity Ligation Assay ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Introduction The role of the progesterone receptor (PR) in breast cancer remains a major clinical challenge. Although PR induces mammary tumor growth, its presence in breast tumors is a marker of good prognosis. We investigated coordinated PR rapid and nonclassical transcriptional effects governing breast cancer growth and endocrine therapy resistance. Methods We used breast cancer cell lines expressing wild-type and mutant PRs, cells sensitive and resistant to endocrine therapy, a variety of molecular and cellular biology approaches, in vitro proliferation studies and preclinical models to explore PR regulation of cyclin D1 expression, tumor growth, and response to endocrine therapy. We investigated the clinical significance of activator protein 1 (AP-1) and PR interaction in a cohort of 99 PR-positive breast tumors by an immunofluorescence protocol we developed. The prognostic value of AP-1/PR nuclear colocalization in overall survival (OS) was evaluated using Kaplan-Meier method, and Cox model was used to explore said colocalization as an independent prognostic factor for OS. Results We demonstrated that at the cyclin D1 promoter and through coordinated rapid and transcriptional effects, progestin induces the assembly of a transcriptional complex among AP-1, Stat3, PR, and ErbB-2 which functions as an enhanceosome to drive breast cancer growth. Our studies in a cohort of human breast tumors identified PR and AP-1 nuclear interaction as a marker of good prognosis and better OS in patients treated with tamoxifen (Tam), an anti-estrogen receptor therapy. Rationale for this finding was provided by our demonstration that Tam inhibits rapid and genomic PR effects, rendering breast cancer cells sensitive to its antiproliferative effects. Conclusions We here provided novel insight into the paradox of PR action as well as new tools to identify the subgroup of ER+/PR + patients unlikely to respond to ER-targeted therapies.
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- 2013
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26. Asterias: A Parallelized Web-based Suite for the Analysis of Expression and aCGH Data
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Ramón Díaz-Uriarte, Patricio Yankilevich, David Casado, Oscar M. Rueda, Andrés Cañada, Edward R. Morrissey, and Andreu Alibés
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microarray ,aCGH ,classification ,prediction ,parallel computing ,web-based application ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
The analysis of expression and CGH arrays plays a central role in the study of complex diseases, especially cancer, including finding markers for early diagnosis and prognosis, choosing an optimal therapy, or increasing our understanding of cancer development and metastasis. Asterias (http://www.asterias.info) is an integrated collection of freely-accessible web tools for the analysis of gene expression and aCGH data. Most of the tools use parallel computing (via MPI) and run on a server with 60 CPUs for computation; compared to a desktop or server-based but not parallelized application, parallelization provides speed ups of factors up to 50. Most of our applications allow the user to obtain additional information for user-selected genes (chromosomal location, PubMed ids, Gene Ontology terms, etc.) by using clickable links in tables and/or fi gures. Our tools include: normalization of expression and aCGH data (DNMAD); converting between different types of gene/clone and protein identifi ers (IDconverter/IDClight); fi ltering and imputation (preP); finding differentially expressed genes related to patient class and survival data (Pomelo II); searching for models of class prediction (Tnasas); using random forests to search for minimal models for class prediction or for large subsets of genes with predictive capacity (GeneSrF); searching for molecular signatures and predictive genes with survival data (SignS); detecting regions of genomic DNA gain or loss (ADaCGH). The capability to send results between different applications, access to additional functional information, and parallelized computation make our suite unique and exploit features only available to web-based applications.
- Published
- 2007
27. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
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Brown, P, Zhou, Y, Tan, A, El-Esawi, M, Liehr, T, Blanck, O, Gladue, D, Almeida, G, Cernava, T, Sorzano, C, Yeung, A, Engel, M, Chandrasekaran, A, Muth, T, Staege, M, Daulatabad, S, Widera, D, Zhang, J, Meule, A, Honjo, K, Pourret, O, Yin, C, Zhang, Z, Cascella, M, Flegel, W, Goodyear, C, van Raaij, M, Bukowy-Bieryllo, Z, Campana, L, Kurniawan, N, Lalaouna, D, Huttner, F, Ammerman, B, Ehret, F, Cobine, P, Tan, E, Han, H, Xia, W, Mccrum, C, Dings, R, Marinello, F, Nilsson, H, Nixon, B, Voskarides, K, Yang, L, Costa, V, Bengtsson-Palme, J, Bradshaw, W, Grimm, D, Kumar, N, Martis, E, Prieto, D, Sabnis, S, Amer, S, Liew, A, Perco, P, Rahimi, F, Riva, G, Zhang, C, Devkota, H, Ogami, K, Basharat, Z, Fierz, W, Siebers, R, Tan, K, Boehme, K, Brenneisen, P, Brown, J, Dalrymple, B, Harvey, D, Ng, G, Werten, S, Bleackley, M, Dai, Z, Dhariwal, R, Gelfer, Y, Hartmann, M, Miotla, P, Tamaian, R, Govender, P, Gurney-Champion, O, Kauppila, J, Zhang, X, Echeverria, N, Subhash, S, Sallmon, H, Tofani, M, Bae, T, Bosch, O, Cuiv, P, Danchin, A, Diouf, B, Eerola, T, Evangelou, E, Filipp, F, Klump, H, Kurgan, L, Smith, S, Terrier, O, Tuttle, N, Ascher, D, Janga, S, Schulte, L, Becker, D, Browngardt, C, Bush, S, Gaullier, G, Ide, K, Meseko, C, Werner, G, Zaucha, J, Al-Farha, A, Greenwald, N, Popoola, S, Rahman, S, Xu, J, Yang, S, Hiroi, N, Alper, O, Baker, C, Bitzer, M, Chacko, G, Debrabant, B, Dixon, R, Forano, E, Gilliham, M, Kelly, S, Klempnauer, K, Lidbury, B, Lin, M, Lynch, I, Ma, W, Maibach, E, Mather, D, Nandakumar, K, Ohgami, R, Parchi, P, Tressoldi, P, Xue, Y, Armitage, C, Barraud, P, Chatzitheochari, S, Coelho, L, Diao, J, Doxey, A, Gobet, A, Hu, P, Kaiser, S, Mitchell, K, Salama, M, Shabalin, I, Song, H, Stevanovic, D, Yadollahpour, A, Zeng, E, Zinke, K, Alimba, C, Beyene, T, Cao, Z, Chan, S, Gatchell, M, Kleppe, A, Piotrowski, M, Torga, G, Woldesemayat, A, Cosacak, M, Haston, S, Ross, S, Williams, R, Wong, A, Abramowitz, M, Effiong, A, Lee, S, Abid, M, Agarabi, C, Alaux, C, Albrecht, D, Atkins, G, Beck, C, Bonvin, A, Bourke, E, Brand, T, Braun, R, Bull, J, Cardoso, P, Carter, D, Delahay, R, Ducommun, B, Duijf, P, Epp, T, Eskelinen, E, Fallah, M, Farber, D, Fernandez-Triana, J, Feyerabend, F, Florio, T, Friebe, M, Furuta, S, Gabrielsen, M, Gruber, J, Grybos, M, Han, Q, Heinrich, M, Helantera, H, Huber, M, Jeltsch, A, Jiang, F, Josse, C, Jurman, G, Kamiya, H, de Keersmaecker, K, Kristiansson, E, de Leeuw, F, Li, J, Liang, S, Lopez-Escamez, J, Lopez-Ruiz, F, Marchbank, K, Marschalek, R, Martin, C, Miele, A, Montagutelli, X, Morcillo, E, Nicoletti, R, Niehof, M, O'Toole, R, Ohtomo, T, Oster, H, Palma, J, Paterson, R, Peifer, M, Portilla, M, Portillo, M, Pritchard, A, Pusch, S, Raghava, G, Roberts, N, Ross, K, Schuele, B, Sergeant, K, Shen, J, Stella, A, Sukocheva, O, Uversky, V, Vanneste, S, Villet, M, Viveiros, M, Vorholt, J, Weinstock, C, Yamato, M, Zabetakis, I, Zhao, X, Ziegler, A, Aizat, W, Atlas, L, Bridges, K, Chakraborty, S, Deschodt, M, Domingues, H, Esfahlani, S, Falk, S, Guisado, J, Kane, N, Kueberuwa, G, Lau, C, Liang, D, Liu, E, Luu, A, Ma, C, Ma, L, Moyer, R, Norris, A, Panthee, S, Parsons, J, Peng, Y, Pinto, I, Reschke, C, Sillanpaa, E, Stewart, C, Uhle, F, Yang, H, Zhou, K, Zhu, S, Ashry, M, Bergsland, N, Berthold, M, Chen, C, Colella, V, Cuypers, M, Eskew, E, Fan, X, Gajda, M, Gonzalezlez-Prendes, R, Goodin, A, Graham, E, Groen, E, Gutierrez-Sacristan, A, Habes, M, Heffler, E, Higginbottom, D, Janzen, T, Jayaraman, J, Jibb, L, Jongen, S, Kinyanjui, T, Koleva-Kolarova, R, Li, Z, Liu, Y, Lund, B, Lussier, A, Mier, P, Moore, M, Nagler, K, Orme, M, Pearson, J, Prajapati, A, Saito, Y, Troder, S, Uchendu, F, Verloh, N, Voutchkova, D, Abu-Zaid, A, Bakkach, J, Baumert, P, Dono, M, Hanson, J, Herbelet, S, Hobbs, E, Kulkarni, A, Liu, S, Loft, N, Reddan, T, Senghore, T, Vindin, H, Xu, H, Bannon, R, Chen, B, Cheung, J, Cooper, J, Esnakula, A, Feghali, K, Ghelardi, E, Gnasso, A, Horbar, J, Lai, H, Ma, R, Pan, Z, Peres, M, Pranata, R, Seow, E, Sydes, M, Testoni, I, Westermair, A, Yang, Y, Afnan, M, Albiol, J, Albuquerque, L, Amir, S, Amiya, E, Amorim, R, An, Q, Andersen, S, Aplin, J, Argyropoulos, C, Asmann, Y, Assaeed, A, Atanasov, A, Atchison, D, Avery, S, Avillach, P, Baade, P, Backman, L, Badie, C, Baldi, A, Ball, E, Bardot, O, Barnett, A, Basner, M, Batra, J, Bazanova, O, Beale, A, Beddoe, T, Bell, M, Berezikov, E, Berners-Price, S, Bernhardt, P, Berry, E, Bessa, T, Billington, C, Birch, J, Blakely, R, Blaskovich, M, Blum, R, Boelaert, M, Bogdanos, D, Bosch, C, Bourgoin, T, Bouvard, D, Boykin, L, Bradley, G, Braun, D, Brownlie, J, Bruhl, A, Burt, A, Butler, L, Byrareddy, S, Byrne, H, Cabantous, S, Calatayud, S, Candal, E, Carlson, K, Casillas, S, Castelvetro, V, Caswell, P, Cavalli, G, Cerovsky, V, Chagoyen, M, Chen, D, Chen, H, Chen, J, Chen, Y, Cheng, C, Cheng, J, Chinapaw, M, Chinopoulos, C, Cho, W, Chong, L, Chowdhury, D, Chwalibog, A, Ciresi, A, Cockcroft, S, Conesa, A, Cook, P, Cooper, D, Coqueret, O, Corea, E, Costa, A, Costa, E, Coupland, C, Crawford, S, Cruz, A, Cui, H, Cui, Q, Culver, D, D'Angiulli, A, Dahms, T, Daigle, F, Dalgleish, R, Danielsen, H, Darras, S, Davidson, S, Day, D, Degirmenci, V, Demaison, L, Devriendt, K, Ding, J, Dogan, Y, Dong, X, Donner, C, Dressick, W, Drevon, C, Duan, H, Ducho, C, Dumaz, N, Dwarakanath, B, Ebell, M, Eisenhardt, S, Elkum, N, Engel, N, Erickson, T, Fairhead, M, Faville, M, Fejzo, M, Festa, F, Feteira, A, Flood-Page, P, Forsayeth, J, Fox, S, Franks, S, Frentiu, F, Frilander, M, Fu, X, Fujita, S, Galea, I, Galluzzi, L, Gani, F, Ganpule, A, Garcia-Alix, A, Gedye, K, Giordano, M, Giunta, C, Gleeson, P, Goarant, C, Gong, H, Gora, D, Gough, M, Goyal, R, Graham, K, Grande-Perez, A, Graves, P, Greidanus, H, Grice, D, Grunau, C, Gumulya, Y, Guo, Y, Gurevich, V, Gusev, O, Hacker, E, Hage, S, Hagen, G, Hahn, S, Haller, D, Hammerschmidt, S, Han, J, Han, R, Handfield, M, Hapuarachchi, H, Harder, T, Hardingham, J, Heck, M, Heers, M, Hew, K, Higuchi, Y, Hilaire, C, Hilton, R, Hodzic, E, Hone, A, Hongoh, Y, Hu, G, Huber, H, Hueso, L, Huirne, J, Hurt, L, Idborg, H, Ikeo, K, Ingley, E, Jakeman, P, Jensen, A, Jia, H, Jia, S, Jiang, J, Jiang, X, Jin, Y, Jo, D, Johnson, A, Johnston, M, Jonscher, K, Jorens, P, Jorgensen, J, Joubert, J, Jung, S, Junior, A, Kahan, T, Kamboj, S, Kang, Y, Karamanos, Y, Karp, N, Kelly, R, Kenna, R, Kennedy, J, Kersten, B, Khalaf, R, Khalid, J, Khatlani, T, Khider, T, Kijanka, G, King, S, Kluz, T, Knox, P, Kobayashi, T, Koch, K, Kohonen-Corish, M, Kong, X, Konkle-Parker, D, Korpela, K, Kostrikis, L, Kraiczy, P, Kratz, H, Krause, G, Krebsbach, P, Kristensen, S, Kumari, P, Kunimatsu, A, Kurdak, H, Kwon, Y, Lachat, C, Lagisz, M, Laky, B, Lammerding, J, Lange, M, Larrosa, M, Laslett, A, Laverman, G, Leclair, E, Lee, K, Lee, M, Li, G, Lieb, K, Lim, Y, Lindsey, M, Line, P, Liu, D, Liu, F, Liu, H, Lloyd, V, Lo, T, Locci, E, Loidl, J, Lorenzen, J, Lorkowski, S, Lovell, N, Lu, H, Lu, W, Lu, Z, Luengo, G, Lundh, L, Lysy, P, Mabb, A, Mack, H, Mackey, D, Mahdavi, S, Maher, P, Maher, T, Maity, S, Malgrange, B, Mamoulakis, C, Mangoni, A, Manke, T, Manstead, A, Mantalaris, A, Marsal, J, Marschall, H, Martin, F, Martinez-Raga, J, Martinez-Salas, E, Mathieu, D, Matsui, Y, Maza, E, Mccutcheon, J, Mckay, G, Mcmillan, B, Mcmillan, N, Meads, C, Medina, L, Merrick, B, Metzger, D, Meunier, F, Michaelis, M, Micheau, O, Mihara, H, Mintz, E, Mizukami, T, Moalic, Y, Mohapatra, D, Monteiro, A, Montes, M, Moran, J, Morozov, S, Mort, M, Murai, N, Murphy, D, Murphy, S, Murray, S, Naganawa, S, Nammi, S, Nasios, G, Natoli, R, Nguyen, F, Nicol, C, van Nieuwerburgh, F, Nilsen, E, Nobile, C, O'Mahony, M, Ohlsson, S, Olatunbosun, O, Olofsson, P, Ortiz, A, Ostrikov, K, Otto, S, Outeiro, T, Ouyang, S, Paganoni, S, Page, A, Palm, C, Paradies, Y, Parsons, M, Parsons, N, Pascal, P, Paul, E, Peckham, M, Pedemonte, N, Pellizzon, M, Petrelli, M, Pichugin, A, Pinto, C, Plevris, J, Pollesello, P, Polz, M, Ponti, G, Porcelli, P, Prince, M, Quinn, G, Quinn, T, Ramula, S, Rappsilber, J, Rehfeldt, F, Reiling, J, Remacle, C, Rezaei, M, Riddick, E, Ritter, U, Roach, N, Roberts, D, Robles, G, Rodrigues, T, Rodriguez, C, Roislien, J, Roobol, M, Rowe, A, Ruepp, A, van Ruitenbeek, J, Rust, P, Saad, S, Sack, G, Santos, M, Saudemont, A, Sava, G, Schrading, S, Schramm, A, Schreiber, M, Schuler, S, Schymkowitz, J, Sczyrba, A, Seib, K, Shi, H, Shimada, T, Shin, J, Shortt, C, Silveyra, P, Skinner, D, Small, I, Smeets, P, So, P, Solano, F, Sonenshine, D, Song, J, Southall, T, Speakman, J, Srinivasan, M, Stabile, L, Stasiak, A, Steadman, K, Stein, N, Stephens, A, Stewart, D, Stine, K, Storlazzi, C, Stoynova, N, Strzalka, W, Suarez, O, Sultana, T, Sumant, A, Summers, M, Sun, G, Tacon, P, Tanaka, K, Tang, H, Tanino, Y, Targett-Adams, P, Tayebi, M, Tayyem, R, Tebbe, C, Telfer, E, Tempel, W, Teodorczyk-Injeyan, J, Thijs, G, Thorne, S, Thrift, A, Tiffon, C, Tinnefeld, P, Tjahjono, D, Tolle, F, Toth, E, Del Tredici, A, Tsapas, A, Tsirigotis, K, Turak, A, Tzotzos, G, Udo, E, Utsumi, T, Vaidyanathan, S, Vaillant, M, Valsesia, A, Vandenbroucke, R, Veiga, F, Vendrell, M, Vesk, P, Vickers, P, Victor, V, Villemur, R, Vohl, M, Voolstra, C, Vuillemin, A, Wakelin, S, Waldron, L, Walsh, L, Wang, A, Wang, F, Wang, Y, Watanabe, Y, Weigert, A, Wen, J, Wham, C, White, E, Wiener, J, Wilharm, G, Wilkinson, S, Willmann, R, Wilson, C, Wirth, B, Wojan, T, Wolff, M, Wong, B, Wu, T, Wuerbel, H, Xiao, X, Xu, D, Xue, B, Yalcin, S, Yan, H, Yang, E, Yang, W, Ye, Y, Ye, Z, Yli-Kauhaluoma, J, Yoneyama, H, Yu, Y, Yuan, G, Yuh, C, Zaccolo, M, Zeng, C, Zevnik, B, Zhang, L, Zhang, Y, Zhao, Y, Zhou, M, Zuberbier, T, Aanei, C, Ahmad, R, Al-Lawama, M, Alanio, A, Allardyce, J, Alonso-Caneiro, D, Atack, J, Baier, D, Bansal, A, Benezeth, Y, Berbesque, C, Berrevoet, F, Biedermann, P, Bijleveld, E, Bittner, F, Blombach, F, van den Bos, W, Boudreau, S, Bramoweth, A, Braubach, O, Cai, Y, Campbell, M, Catry, T, Chen, X, Cheng, S, Chung, H, Chavez-Fumagalli, M, Conway, A, Costa, B, Cyr, N, Dean, L, Denzel, M, Dlamini, S, Dudley, K, Dufies, M, Ecke, T, Eckweiler, D, Eixarch, E, El-Adawy, H, Emmrich, J, Eustace, A, Falter-Wagner, C, Farhoudi, R, Fuss, J, Gao, J, Gill, M, Gloyn, L, Goggs, R, Govinden, U, Greene, G, Greiff, V, Grundle, D, Gruneberg, P, Gumede, N, Haore, G, Harrison, P, Hoenner, X, Hojsgaard, D, Hori, H, Ikonomopoulou, M, Jeurissen, P, Johnson, D, Kabra, D, Kamagata, K, Karmakar, C, Kasian, O, Kaye, L, Khan, M, Kim, Y, Kish, J, Kobold, S, Kohanbash, G, Kohls, G, Kugler, J, Kumar, G, Lacy-Colson, J, Latif, A, Lauschke, V, Li, B, Lim, C, Liu, X, Lu, J, Lu, Q, Mahavadi, P, Marzocchi, U, Mcgarrigle, C, van Meerten, T, Min, R, Moal, I, Molari, M, Molleman, L, Mondal, S, van de Mortel, T, Moss, W, Moultos, O, Mukherjee, M, Nakayama, K, Narayan, E, Navaratnarajah, Neumann, P, Nie, J, Nie, Y, Niemeyer, F, Nolan, F, Nwaiwu, O, Oldenmenger, W, Olumayede, E, Ou, J, Pallebage-Gamarallage, M, Pearce, S, Pelkonen, T, Pelleri, M, Pereira, J, Pheko, M, Pinto, K, Piovesan, A, Pluess, M, Podolsky, I, Prescott, J, Qi, D, Qi, X, Raikou, V, Ranft, A, Rhodes, J, Rotge, J, Saggar, M, Schuon, R, Shahid, S, Shalchyan, V, Shirvalkar, P, Shiryayev, O, Singh, J, Smout, M, Soares, A, Song, C, Srivastava, K, Srivastava, R, Sun, J, Szabo, A, Szymanski, W, Tai, C, Takeuchi, H, Tanadini-Lang, S, Tang, F, Tao, W, Theron, G, Tian, C, Tian, Y, Tuttle, L, Valenti, A, Verlot, P, Walker, M, Wang, J, Welter, D, Winslade, M, Wu, D, Wu, Y, Xiao, H, Xu, B, Xu, Z, Yang, D, Yang, M, Yankilevich, P, You, Y, Yu, C, Zhan, J, Zhang, G, Zhang, K, Zhang, T, Zhao, G, Zhao, J, Zhou, X, Zhu, Z, Ajani, P, Anazodo, U, Bagloee, S, Bail, K, Bar, I, Bathelt, J, Benkeser, D, Bernier, M, Blanchard, A, Boakye, D, Bonatsos, V, Boon, M, Bouboulis, G, Bromfield, E, Bul, K, Burton, K, Butkowski, E, Carroll, G, Chao, F, Charrier, E, Chenguang, Choi, J, Christoffersen, T, Comel, J, Cosse, C, Cui, Y, van Dessel, P, Dhaval, Diodato, D, Duffey, M, Dutt, A, Egea, L, El-Said, M, Faye, M, Fernandez-Fernandez, B, Foley, K, Founou, L, Fu, F, Gadelkareem, R, Galimov, E, Garip, G, Gemmill, A, Gouil, Q, Grey, J, Gridneva, Z, Grothe, M, Grebert, T, Guerrero, F, Guignard, L, Haenssgen, M, Hasler, D, Holgate, J, Huang, A, Hulse-Kemp, A, Jean-Quartier, C, Jeon, S, Jia, Y, Jutzeler, C, Kalatzis, P, Karim, M, Karsay, K, Keitel, A, Kempe, A, Keown, J, Khoo, C, Khwaja, N, Kievit, R, Kosanic, S, Koutoukidis, D, Kramer, P, Kumar, D, Kirag, N, Lanza, G, Le, T, Leem, J, Leightley, D, Leite, A, Lercher, L, Li, Y, Lim, R, Lima, L, Lin, L, Ling, T, Liu, Z, Lu, Y, Lum, F, Luo, H, Machhi, J, Macleod, A, Macwan, I, Madala, H, Madani, N, de Maio, N, Makowiecki, K, Mallinson, D, Margelyte, R, Maria, C, Markonis, Y, Marsili, L, Mavoa, S, Mcwilliams, L, Megersa, M, Souto-Maior, C, Menichetti, J, Mercieca-Bebber, R, Miller, J, Minde, D, Minges, A, Mishra, E, Mishra, V, Moores, C, Morrice, N, Moskalensky, A, Navarin, N, Negera, E, Nolet, P, Nordberg, A, Norden, R, Nowicki, J, Olova, N, Olszewski, P, Onzima, R, Pan, C, Park, C, Park, D, Park, S, Patil, C, Pedro, S, Perry, S, Peter, J, Peterson, B, Pezzuolo, A, Pozdnyakov, I, Qian, S, Qin, L, Rafe, A, Raote, I, Raza, A, Rebl, H, Refai, O, Regan, T, Richa, T, Richardson, M, Robinson, K, Rossoni, L, Rouet, R, Safaei, S, Schneeberger, P, Schwotzer, D, Sebastian, A, Selinski, J, Seltmann, S, Sha, F, Shalev, N, Shang, J, Singer, J, Singh, M, Smith, T, Solomon-Moore, E, Song, L, Soraggi, S, Stanley, R, Steckhan, N, Strobl, F, Subissi, L, Supriyanto, I, Surve, C, Suzuki, T, Syme, C, Sorelius, K, Tang, Y, Tantawy, M, Tennakoon, S, Teseo, S, Toelzer, C, Tomov, N, Tovar, M, Tran, L, Tripathi, S, Tuladhar, A, Ukubuiwe, A, Ung, C, Valgepea, K, Vatanparast, H, Vidal, A, Wang, Q, Watari, R, Webster, R, Wei, J, Wibowo, D, Wingenbach, T, Xavier, R, Xiao, S, Xiong, P, Xu, S, Yao, R, Yao, W, Yin, Q, Zaitsu, M, Zeineb, Z, Zhan, X, Zhang, R, Zhang, W, Zheng, S, Zhou, B, Ahmad, H, Akinwumi, S, Albery, G, Alhowimel, A, Ali, J, Alshehri, M, Alsuhaibani, M, Anikin, A, Azubuike, S, Bach-Mortensen, A, Baltiansky, L, Bartas, M, Belachew, K, Bhardwaj, V, Binder, K, Bland, N, Boah, M, Bullen, B, Calabro, G, Callahan, T, Cao, B, Chalmers, K, Chang, W, Che, Z, Chen, A, Chen, Z, Choi, Y, Chowdhury, M, Christensen, M, Cooke, R, Cottini, M, Covington, N, Cunningham, C, Delarocque, J, Devos, L, Dhar, A, Ding, K, Dong, K, Dong, Z, Dreyer, N, Ekstrand, C, Fardet, T, Feleke, B, Feurer, T, Freitas, A, Gao, T, Gebremedhin, Giganti, F, Grabowski, P, Guerra-Mora, J, Guo, C, Guo, X, Gupta, H, He, S, Heijne, M, Heinemann, S, Hogrebe, A, Huang, Z, Iskander-Rizk, S, Iyer, L, Jahan, Y, James, A, Joel, E, Joffroy, B, Jegousse, C, Kambondo, G, Karnati, P, Kaya, C, Ke, A, Kelly, D, Kickert, R, Kidibule, P, Kieselmann, J, Kim, H, Kitazawa, T, Lamberts, A, Liang, H, Linn, S, Litfin, T, Liusuo, W, Lygirou, V, Mahato, A, Mai, Z, Major, R, Mali, S, Mallis, P, Mao, W, Marvin-Dowle, K, Mason, L, Merideth, B, Merino-Plaza, M, Merlaen, B, Messina, R, Mishra, A, Muhammad, J, Musinguzi, C, Nanou, A, Naqash, A, Nguyen, J, Nguyen, T, Ni, D, Nida, Notcovich, S, Ohst, B, Ollivier, Q, Osses, D, Peng, X, Plantinga, A, Pulia, M, Rafiq, M, Raman, A, Raucher-Chene, Rawski, R, Ray, A, Razak, L, Rudolf, K, Rusch, P, Sadoine, M, Schmidt, A, Schurr, R, Searles, S, Sharma, S, Sheehan, B, Shi, C, Shohayeb, B, Sommerlad, A, Strehlow, J, Sun, X, Sundar, R, Taherzadeh, G, Tahir, N, Tang, J, Testa, J, Tian, Z, Tingting, Q, Verheijen, G, Vickstrom, C, Wang, T, Wang, X, Wang, Z, Wei, P, Wilson, A, Wyart, Yassine, A, Yousefzadeh, A, Zare, A, Zeng, Z, Zhang, H, Zhou, J, Zhu, D, Adamo, V, Adeyemo, A, Aggelidou, M, Al-Owaifeer, A, Al-Riyami, A, Alzghari, S, Andersen, V, Angus, K, Asaduzzaman, M, Asady, H, Ato, D, Bai, X, Baines, R, Ballantyne, M, Ban, B, Beck, J, Ben-Nafa, W, Black, E, Blancher, A, Blankstein, R, Bodagh, N, Borges, P, Brooks, A, Brox-Ponce, J, Brunetti, A, Canham, C, Carninci, P, Carvajal, R, Chang, S, Chao, J, Chatterjee, P, Chen, L, Chhatriwalla, A, Chikowe, I, Chuang, T, Collevatti, R, Cornejo, D, Cuenda, A, Dao, M, Dauga, D, Deng, Z, Devkota, K, Doan, L, Elewa, Y, Fan, D, Faruk, M, Feifei, S, Ferguson, T, Fleres, F, Foster, E, Foster, S, Furer, T, Gao, Y, Garcia-Rivera, E, Gazdar, A, George, R, Ghosh, S, Gianchecchi, E, Gleason, J, Hackshaw, A, Hall, A, Hall, R, Harper, P, Hogg, W, Huang, G, Hunter, K, Ijzerman, A, Jesus, C, Jian, G, Lewis, J, Kanj, S, Kaur, H, Kheir, F, Kichatova, V, Kiyani, M, Klein, R, Kovesi, T, Kraschnewski, J, Kumar, A, Labutin, D, Lazo-Langner, A, Leclercq, G, Li, M, Li, Q, Li, T, Liao, W, Liao, Z, Lin, J, Lizer, J, Lobreglio, G, Lowies, C, Lu, C, Majeed, H, Martin, A, Martinez-Sobrido, L, Meresh, E, Middelveen, M, Mohebbi, A, Mota, J, Mozaheb, Z, Muyaya, L, Nandhakumar, A, Ng, S, Obeidat, M, Oh, D, Owais, M, Pace-Asciak, P, Panwar, A, Patterson, C, Penagos-Tabaree, F, Pianosi, P, Pinzi, V, Pridans, C, Psaroulaki, A, Pujala, R, Pulido-Arjona, L, Qi, P, Rahman, P, Rai, N, Rassaf, T, Refardt, J, Ricciardi, W, Riess, O, Rovas, A, Sacks, F, Saleh, S, Sampson, C, Schmutz, A, Sepanski, R, Sharma, N, Spearman, P, Subramaniapillai, M, Swali, R, Tan, C, Tellechea, J, Thomas, L, Tong, X, Vavvas, D, Veys, R, Vitriol, V, Wang, H, Waugh, J, Webb, S, Williams, B, Workman, A, Xiang, T, Xie, L, Xu, T, Yang, C, Yoon, J, Yuan, C, Zaritsky, A, Zhao, H, Zuckerman, H, Lyu, R, Pullan, W, Brown P., Zhou Y., Tan A. -C., El-Esawi M. A., Liehr T., Blanck O., Gladue D. P., Almeida G. M. F., Cernava T., Sorzano C. O., Yeung A. W. K., Engel M. S., Chandrasekaran A. R., Muth T., Staege M. S., Daulatabad S. V., Widera D., Zhang J., Meule A., Honjo K., Pourret O., Yin C. -C., Zhang Z., Cascella M., Flegel W. A., Goodyear C. S., van Raaij M. J., Bukowy-Bieryllo Z., Campana L. G., Kurniawan N. A., Lalaouna D., Huttner F. J., Ammerman B. A., Ehret F., Cobine P. A., Tan E. -C., Han H., Xia W., McCrum C., Dings R. P. M., Marinello F., Nilsson H., Nixon B., Voskarides K., Yang L., Costa V. D., Bengtsson-Palme J., Bradshaw W., Grimm D. G., Kumar N., Martis E., Prieto D., Sabnis S. C., Amer S. E. D. R., Liew A. W. C., Perco P., Rahimi F., Riva G., Zhang C., Devkota H. P., Ogami K., Basharat Z., Fierz W., Siebers R., Tan K. H., Boehme K. A., Brenneisen P., Brown J. A. L., Dalrymple B. P., Harvey D. J., Ng G., Werten S., Bleackley M., Dai Z., Dhariwal R., Gelfer Y., Hartmann M. D., Miotla P., Tamaian R., Govender P., Gurney-Champion O. J., Kauppila J. H., Zhang X., Echeverria N., Subhash S., Sallmon H., Tofani M., Bae T., Bosch O., Cuiv P. O., Danchin A., Diouf B., Eerola T., Evangelou E., Filipp F., Klump H., Kurgan L., Smith S. S., Terrier O., Tuttle N., Ascher D. B., Janga S. C., Schulte L. N., Becker D., Browngardt C., Bush S. J., Gaullier G., Ide K., Meseko C., Werner G. D. A., Zaucha J., Al-Farha A. A., Greenwald N. F., Popoola S. I., Rahman S., Xu J., Yang S. Y., Hiroi N., Alper O. M., Baker C. I., Bitzer M., Chacko G., Debrabant B., Dixon R., Forano E., Gilliham M., Kelly S., Klempnauer K. -H., Lidbury B. A., Lin M. Z., Lynch I., Ma W., Maibach E. W., Mather D. E., Nandakumar K. S., Ohgami R. S., Parchi P., Tressoldi P., Xue Y., Armitage C., Barraud P., Chatzitheochari S., Coelho L. P., Diao J., Doxey A. C., Gobet A., Hu P., Kaiser S., Mitchell K. M., Salama M. F., Shabalin I. G., Song H., Stevanovic D., Yadollahpour A., Zeng E., Zinke K., Alimba C. G., Beyene T. J., Cao Z., Chan S. S., Gatchell M., Kleppe A., Piotrowski M., Torga G., Woldesemayat A. A., Cosacak M. I., Haston S., Ross S. A., Williams R., Wong A., Abramowitz M. K., Effiong A., Lee S., Abid M. B., Agarabi C., Alaux C., Albrecht D. R., Atkins G. J., Beck C. R., Bonvin A. M. J. J., Bourke E., Brand T., Braun R. J., Bull J. A., Cardoso P., Carter D., Delahay R. M., Ducommun B., Duijf P. H. G., Epp T., Eskelinen E. -L., Fallah M., Farber D. B., Fernandez-Triana J., Feyerabend F., Florio T., Friebe M., Furuta S., Gabrielsen M., Gruber J., Grybos M., Han Q., Heinrich M., Helantera H., Huber M., Jeltsch A., Jiang F., Josse C., Jurman G., Kamiya H., de Keersmaecker K., Kristiansson E., de Leeuw F. -E., Li J., Liang S., Lopez-Escamez J. A., Lopez-Ruiz F. J., Marchbank K. J., Marschalek R., Martin C. S., Miele A. E., Montagutelli X., Morcillo E., Nicoletti R., Niehof M., O'Toole R., Ohtomo T., Oster H., Palma J. -A., Paterson R., Peifer M., Portilla M., Portillo M. C., Pritchard A. L., Pusch S., Raghava G. P. S., Roberts N. J., Ross K., Schuele B., Sergeant K., Shen J., Stella A., Sukocheva O., Uversky V. N., Vanneste S., Villet M. H., Viveiros M., Vorholt J. A., Weinstock C., Yamato M., Zabetakis I., Zhao X., Ziegler A., Aizat W. M., Atlas L., Bridges K. M., Chakraborty S., Deschodt M., Domingues H. S., Esfahlani S. S., Falk S., Guisado J. L., Kane N. C., Kueberuwa G., Lau C. L., Liang D., Liu E., Luu A. M., Ma C., Ma L., Moyer R., Norris A. D., Panthee S., Parsons J. R., Peng Y., Pinto I. M., Reschke C. R., Sillanpaa E., Stewart C. J., Uhle F., Yang H., Zhou K., Zhu S., Ashry M., Bergsland N., Berthold M., Chen C. -E., Colella V., Cuypers M., Eskew E. A., Fan X., Gajda M., Gonzalezlez-Prendes R., Goodin A., Graham E. B., Groen E. J. N., Gutierrez-Sacristan A., Habes M., Heffler E., Higginbottom D. B., Janzen T., Jayaraman J., Jibb L. A., Jongen S., Kinyanjui T., Koleva-Kolarova R. G., Li Z., Liu Y. -P., Lund B. A., Lussier A. A., Mier P., Moore M. D., Nagler K., Orme M. W., Pearson J. A., Prajapati A. S., Saito Y., Troder S. E., Uchendu F., Verloh N., Voutchkova D. D., Abu-Zaid A., Bakkach J., Baumert P., Dono M., Hanson J., Herbelet S., Hobbs E., Kulkarni A., Liu S., Loft N. D., Reddan T., Senghore T., Vindin H., Xu H., Bannon R., Chen B., Cheung J. T. K., Cooper J., Esnakula A. K., Feghali K. A., Ghelardi E., Gnasso A., Horbar J., Lai H. M., Ma R., Pan Z., Peres M. A., Pranata R., Seow E., Sydes M., Testoni I., Westermair A. L., Yang Y., Afnan M., Albiol J., Albuquerque L. G., Amir S., Amiya E., Amorim R. M., An Q., Andersen S. U., Aplin J. D., Argyropoulos C., Asmann Y. W., Assaeed A. M., Atanasov A. G., Atchison D. A., Avery S. V., Avillach P., Baade P. D., Backman L., Badie C., Baldi A., Ball E., Bardot O., Barnett A. G., Basner M., Batra J., Bazanova O. M., Beale A., Beddoe T., Bell M. L., Berezikov E., Berners-Price S., Bernhardt P., Berry E., Bessa T. B., Billington C., Birch J., Blakely R. D., Blaskovich M. A. T., Blum R., Boelaert M., Bogdanos D., Bosch C., Bourgoin T., Bouvard D., Boykin L. M., Bradley G., Braun D., Brownlie J., Bruhl A., Burt A., Butler L. M., Byrareddy S. N., Byrne H. J., Cabantous S., Calatayud S., Candal E., Carlson K., Casillas S., Castelvetro V., Caswell P. T., Cavalli G., Cerovsky V., Chagoyen M., Chen C. -S., Chen D. F., Chen H., Chen J. -T., Chen Y., Cheng C., Cheng J., Chinapaw M., Chinopoulos C., Cho W. C. S., Chong L., Chowdhury D., Chwalibog A., Ciresi A., Cockcroft S., Conesa A., Cook P. A., Cooper D. N., Coqueret O., Corea E. M., Costa A., Costa E., Coupland C., Crawford S. Y., Cruz A. D., Cui H., Cui Q., Culver D. C., D'Angiulli A., Dahms T. E. S., Daigle F., Dalgleish R., Danielsen H. E., Darras S., Davidson S. M., Day D. A., Degirmenci V., Demaison L., Devriendt K., Ding J., Dogan Y., Dong X. C., Donner C. F., Dressick W., Drevon C. A., Duan H., Ducho C., Dumaz N., Dwarakanath B. S., Ebell M. H., Eisenhardt S., Elkum N., Engel N., Erickson T. B., Fairhead M., Faville M. J., Fejzo M. S., Festa F., Feteira A., Flood-Page P., Forsayeth J., Fox S. A., Franks S. J., Frentiu F. D., Frilander M. J., Fu X., Fujita S., Galea I., Galluzzi L., Gani F., Ganpule A. P., Garcia-Alix A., Gedye K., Giordano M., Giunta C., Gleeson P. A., Goarant C., Gong H., Gora D., Gough M. J., Goyal R., Graham K. E., Grande-Perez A., Graves P. M., Greidanus H., Grice D., Grunau C., Gumulya Y., Guo Y., Gurevich V. V., Gusev O., Hacker E., Hage S. R., Hagen G., Hahn S., Haller D. M., Hammerschmidt S., Han J., Han R., Handfield M., Hapuarachchi H. C., Harder T., Hardingham J. E., Heck M., Heers M., Hew K. F., Higuchi Y., Hilaire C. St., Hilton R., Hodzic E., Hone A., Hongoh Y., Hu G., Huber H. P., Hueso L. E., Huirne J., Hurt L., Idborg H., Ikeo K., Ingley E., Jakeman P. M., Jensen A., Jia H., Jia S., Jiang J., Jiang X., Jin Y., Jo D., Johnson A. M., Johnston M., Jonscher K. R., Jorens P. G., Jorgensen J. O. L., Joubert J. W., Jung S. -H., Junior A. M., Kahan T., Kamboj S. K., Kang Y. -K., Karamanos Y., Karp N. A., Kelly R., Kenna R., Kennedy J., Kersten B., Khalaf R. A., Khalid J. M., Khatlani T., Khider T., Kijanka G. S., King S. R. B., Kluz T., Knox P., Kobayashi T., Koch K. -W., Kohonen-Corish M. R. J., Kong X., Konkle-Parker D., Korpela K. M., Kostrikis L. G., Kraiczy P., Kratz H., Krause G., Krebsbach P. H., Kristensen S. R., Kumari P., Kunimatsu A., Kurdak H., Kwon Y. D., Lachat C., Lagisz M., Laky B., Lammerding J., Lange M., Larrosa M., Laslett A. L., Laverman G. D., Leclair E. E., Lee K. -W., Lee M. -Y., Lee M. -S., Li G., Lieb K., Lim Y. Y., Lindsey M. L., Line P. -D., Liu D., Liu F., Liu H., Lloyd V. K., Lo T. -W., Locci E., Loidl J., Lorenzen J., Lorkowski S., Lovell N. H., Lu H., Lu W., Lu Z., Luengo G. S., Lundh L. -G., Lysy P. A., Mabb A., Mack H. G., Mackey D. A., Mahdavi S. R., Maher P., Maher T., Maity S. N., Malgrange B., Mamoulakis C., Mangoni A. A., Manke T., Manstead A. S. R., Mantalaris A., Marsal J., Marschall H. -U., Martin F. L., Martinez-Raga J., Martinez-Salas E., Mathieu D., Matsui Y., Maza E., McCutcheon J. E., McKay G. J., McMillan B., McMillan N., Meads C., Medina L., Merrick B. A., Metzger D. W., Meunier F. A., Michaelis M., Micheau O., Mihara H., Mintz E. M., Mizukami T., Moalic Y., Mohapatra D. P., Monteiro A., Montes M., Moran J. V., Morozov S. Y., Mort M., Murai N., Murphy D. J., Murphy S. K., Murray S. A., Naganawa S., Nammi S., Nasios G., Natoli R. M., Nguyen F., Nicol C., van Nieuwerburgh F., Nilsen E. B., Nobile C. J., O'Mahony M., Ohlsson S., Olatunbosun O., Olofsson P., Ortiz A., Ostrikov K., Otto S., Outeiro T. F., Ouyang S., Paganoni S., Page A., Palm C., Paradies Y., Parsons M. H., Parsons N., Pascal P., Paul E., Peckham M., Pedemonte N., Pellizzon M. A., Petrelli M., Pichugin A., Pinto C. J. C., Plevris J. N., Pollesello P., Polz M., Ponti G., Porcelli P., Prince M., Quinn G. P., Quinn T. J., Ramula S., Rappsilber J., Rehfeldt F., Reiling J. H., Remacle C., Rezaei M., Riddick E. W., Ritter U., Roach N. W., Roberts D. D., Robles G., Rodrigues T., Rodriguez C., Roislien J., Roobol M. J., Rowe A., Ruepp A., van Ruitenbeek J., Rust P., Saad S., Sack G. H., Santos M., Saudemont A., Sava G., Schrading S., Schramm A., Schreiber M., Schuler S., Schymkowitz J., Sczyrba A., Seib K. L., Shi H. -P., Shimada T., Shin J. -S., Shortt C., Silveyra P., Skinner D., Small I., Smeets P. A. M., So P. -W., Solano F., Sonenshine D. E., Song J., Southall T., Speakman J. R., Srinivasan M. V., Stabile L. P., Stasiak A., Steadman K. J., Stein N., Stephens A. W., Stewart D. I., Stine K., Storlazzi C., Stoynova N. V., Strzalka W., Suarez O. M., Sultana T., Sumant A. V., Summers M. J., Sun G., Tacon P., Tanaka K., Tang H., Tanino Y., Targett-Adams P., Tayebi M., Tayyem R., Tebbe C. C., Telfer E. E., Tempel W., Teodorczyk-Injeyan J. A., Thijs G., Thorne S., Thrift A. G., Tiffon C., Tinnefeld P., Tjahjono D. H., Tolle F., Toth E., Del Tredici A. L., Tsapas A., Tsirigotis K., Turak A., Tzotzos G., Udo E. E., Utsumi T., Vaidyanathan S., Vaillant M., Valsesia A., Vandenbroucke R. E., Veiga F. H., Vendrell M., Vesk P. A., Vickers P., Victor V. M., Villemur R., Vohl M. -C., Voolstra C. R., Vuillemin A., Wakelin S., Waldron L., Walsh L. J., Wang A. Y., Wang F., Wang Y., Watanabe Y., Weigert A., Wen J. -C., Wham C., White E. P., Wiener J., Wilharm G., Wilkinson S., Willmann R., Wilson C., Wirth B., Wojan T. R., Wolff M., Wong B. M., Wu T. -W., Wuerbel H., Xiao X., Xu D., Xu J. W., Xue B., Yalcin S., Yan H., Yang E. -C., Yang S., Yang W., Ye Y., Ye Z. -Q., Yli-Kauhaluoma J., Yoneyama H., Yu Y., Yuan G. -C., Yuh C. -H., Zaccolo M., Zeng C., Zevnik B., Zhang L., Zhang Y., Zhang Z. -Y., Zhao Y., Zhou M., Zuberbier T., Aanei C. M., Ahmad R., Al-Lawama M., Alanio A., Allardyce J., Alonso-Caneiro D., Atack J. M., Baier D., Bansal A., Benezeth Y., Berbesque C., Berrevoet F., Biedermann P. H. W., Bijleveld E., Bittner F., Blombach F., van den Bos W., Boudreau S. A., Bramoweth A. D., Braubach O., Cai Y., Campbell M., Catry T., Chen X., Cheng S., Chung H. -J., Chavez-Fumagalli M. A., Conway A., Costa B. M., Cyr N., Dean L. T., Denzel M. S., Dlamini S. V., Dudley K. J., Dufies M., Ecke T., Eckweiler D., Eixarch E., El-Adawy H., Emmrich J. V., Eustace A. J., Falter-Wagner C. M., Farhoudi R., Fuss J., Gao J., Gill M. R., Gloyn L., Goggs R., Govinden U., Greene G., Greiff V., Grundle D. S., Gruneberg P., Gumede N., Haore G., Harrison P., Hoenner X., Hojsgaard D., Hori H., Ikonomopoulou M. P., Jeurissen P., Johnson D. M., Kabra D., Kamagata K., Karmakar C., Kasian O., Kaye L. K., Khan M. M., Kim Y. -M., Kish J. K., Kobold S., Kohanbash G., Kohls G., Kugler J. -M., Kumar G., Lacy-Colson J., Latif A., Lauschke V. M., Li B., Lim C. J., Liu X., Lu J. -J., Lu Q., Mahavadi P., Marzocchi U., McGarrigle C. A., van Meerten T., Min R., Moal I., Molari M., Molleman L., Mondal S. R., van de Mortel T., Moss W. N., Moultos O. A., Mukherjee M., Nakayama K., Narayan E., Neumann P. -A., Nie J., Nie Y., Niemeyer F., Nolan F., Nwaiwu O., Oldenmenger W. H., Olumayede E., Ou J., Pallebage-Gamarallage M., Pearce S. P., Pelkonen T., Pelleri M. C., Pereira J. L., Pheko M., Pinto K. A., Piovesan A., Pluess M., Podolsky I. M., Prescott J., Qi D., Qi X., Raikou V. D., Ranft A., Rhodes J., Rotge J. -Y., Rowe A. D., Saggar M., Schuon R. A., Shahid S., Shalchyan V., Shirvalkar P., Shiryayev O., Singh J., Smout M. J., Soares A., Song C., Srivastava K., Srivastava R. K., Sun J., Szabo A., Szymanski W., Tai C. N. P., Takeuchi H., Tanadini-Lang S., Tang F., Tao W., Theron G., Tian C. F., Tian Y. -S., Tuttle L. M., Valenti A., Verlot P., Walker M., Wang J., Welter D., Winslade M., Wu D., Wu Y. -R., Xiao H., Xu B., Xu Z., Yang D., Yang M., Yankilevich P., You Y., Yu C., Zhan J., Zhang G., Zhang K., Zhang T., Zhao G., Zhao J., Zhou X., Zhu Z., Ajani P. A., Anazodo U. C., Bagloee S. A., Bail K., Bar I., Bathelt J., Benkeser D., Bernier M. L., Blanchard A. M., Boakye D. W., Bonatsos V., Boon M. H., Bouboulis G., Bromfield E., Brown J., Bul K. C. M., Burton K. J., Butkowski E. G., Carroll G., Chao F., Charrier E. E., Chen Y. -C., Choi J. R., Christoffersen T., Comel J. C., Cosse C., Cui Y., van Dessel P., Diodato D., Duffey M., Dutt A., Egea L. G., El-Said M., Faye M., Fernandez-Fernandez B., Foley K. G., Founou L. L., Fu F., Gadelkareem R. A., Galimov E., Garip G., Gemmill A., Gouil Q., Grey J., Gridneva Z., Grothe M. J., Grebert T., Guerrero F., Guignard L., Haenssgen M. J., Hasler D., Holgate J. Y., Huang A., Hulse-Kemp A. M., Jean-Quartier C., Jeon S. -M., Jia Y., Jutzeler C., Kalatzis P., Karim M., Karsay K., Keitel A., Kempe A., Keown J. R., Khoo C. M., Khwaja N., Kievit R. A., Kosanic S., Koutoukidis D. A., Kramer P., Kumar D., Kirag N., Lanza G., Le T. D., Leem J. W., Leightley D., Leite A., Lercher L., Li Y., Lim R., Lima L. R. A., Lin L., Ling T., Liu Y., Liu Z., Lu Y., Lum F. M., Luo H., Machhi J., Macleod A., Macwan I., Madala H. R., Madani N., de Maio N., Makowiecki K., Mallinson D. J., Margelyte R., Maria C., Markonis Y., Marsili L., Mavoa S., McWilliams L., Megersa M., Souto-Maior C., Menichetti J., Mercieca-Bebber R., Miller J. J., Minde D. -P. M., Minges A., Mishra E., Mishra V. R., Moores C., Morrice N., Moskalensky A. E., Navarin N., Negera E., Nolet P., Nordberg A., Norden R., Nowicki J. P., Olova N., Olszewski P., Onzima R., Pan C. -L., Park C., Park D. I., Park S., Patil C. D., Pedro S. A., Perry S. R., Peter J., Peterson B. M., Pezzuolo A., Pozdnyakov I., Qian S., Qin L., Rafe A., Raote I., Raza A., Rebl H., Refai O., Regan T., Richa T., Richardson M. F., Robinson K. R., Rossoni L., Rouet R., Safaei S., Schneeberger P. H. H., Schwotzer D., Sebastian A., Selinski J., Seltmann S., Sha F., Shalev N., Shang J. -L., Singer J., Singh M., Smith T., Solomon-Moore E., Song L., Soraggi S., Stanley R., Steckhan N., Strobl F., Subissi L., Supriyanto I., Surve C. R., Suzuki T., Syme C., Sorelius K., Tang Y., Tantawy M., Tennakoon S., Teseo S., Toelzer C., Tomov N., Tovar M., Tran L., Tripathi S., Tuladhar A. M., Ukubuiwe A. C., Ung C. O. L., Valgepea K., Vatanparast H., Vidal A., Wang Q., Watari R., Webster R., Wei J., Wibowo D., Wingenbach T. S. H., Xavier R. M., Xiao S., Xiong P., Xu S., Yao R., Yao W., Yin Q., Zaitsu M., Zeineb Z., Zhan X. -Y., Zhang R., Zhang W., Zheng S., Zhou B., Ahmad H., Akinwumi S. A., Albery G. F., Alhowimel A., Ali J., Alshehri M., Alsuhaibani M., Anikin A., Azubuike S. O., Bach-Mortensen A., Baltiansky L., Bartas M., Belachew K. Y., Bhardwaj V., Binder K., Bland N. S., Boah M., Bullen B., Calabro G. E., Callahan T. J., Cao B., Chalmers K., Chang W., Che Z., Chen A. T. Y., Chen Z., Choi Y., Chowdhury M. A. K., Christensen M. R., Cooke R. S. C., Cottini M., Covington N. V., Cunningham C., Delarocque J., Devos L., Dhar A. R., Ding K. -F., Dong K., Dong Z., Dreyer N., Ekstrand C., Fardet T., Feleke B. E., Feurer T., Freitas A., Gao T., Giganti F., Grabowski P., Guerra-Mora J. R., Guo C., Guo X., Gupta H., He S., Heijne M., Heinemann S., Hogrebe A., Huang Z., Iskander-Rizk S., Iyer L. M., Jahan Y., James A. S., Joel E., Joffroy B., Jegousse C., Kambondo G., Karnati P., Kaya C., Ke A., Kelly D., Kickert R., Kidibule P. E., Kieselmann J. P., Kim H. J., Kitazawa T., Lamberts A., Liang H., Linn S. N., Litfin T., Liusuo W., Lygirou V., Mahato A. K., Mai Z. -M., Major R. W., Mali S., Mallis P., Mao W., Marvin-Dowle K., Mason L. D., Merideth B., Merino-Plaza M. J., Merlaen B., Messina R., Mishra A. K., Muhammad J., Musinguzi C., Nanou A., Naqash A., Nguyen J. T., Nguyen T. T. H., Ni D., Notcovich S., Ohst B., Ollivier Q. R., Osses D. F., Peng X., Plantinga A., Pulia M., Rafiq M., Raman A., Rawski R., Ray A., Razak L. A., Rudolf K., Rusch P., Sadoine M. L., Schmidt A., Schurr R., Searles S., Sharma S., Sheehan B., Shi C., Shohayeb B., Sommerlad A., Strehlow J., Sun X., Sundar R., Taherzadeh G., Tahir N. D. M., Tang J., Testa J., Tian Z., Tingting Q., Verheijen G. P., Vickstrom C., Wang T., Wang X., Wang Z., Wei P., Wilson A., Yassine A. -A., Yousefzadeh A., Zare A., Zeng Z., Zhang H., Zhou J., Zhu D., Adamo V., Adeyemo A. A., Aggelidou M., Al-Owaifeer A. M., Al-Riyami A. Z., Alzghari S. K., Andersen V., Angus K., Asaduzzaman M., Asady H., Ato D., Bai X., Baines R. L., Ballantyne M., Ban B., Beck J., Ben-Nafa W., Black E., Blancher A., Blankstein R., Bodagh N., Borges P., Brooks A., Brox-Ponce J., Brunetti A., Canham C. D., Carninci P., Carvajal R., Chang S. C., Chao J., Chatterjee P., Chen L., Chhatriwalla A. K., Chikowe I., Chuang T. -J., Collevatti R. G., Cornejo D. A. V., Cuenda A., Dao M., Dauga D., Deng Z., Devkota K., Doan L. V., Elewa Y. H. A., Fan D., Faruk M., Feifei S., Ferguson T. S., Fleres F., Foster E. J., Foster S., Furer T., Gao Y., Garcia-Rivera E. J., Gazdar A., George R. B., Ghosh S., Gianchecchi E., Gleason J. M., Hackshaw A., Hall A., Hall R., Harper P., Hogg W. E., Huang G., Hunter K. E., Ijzerman A. P., Jesus C., Jian G., Lewis J. S., Kanj S. S., Kaur H., Kheir F., Kichatova V. S., Kiyani M., Klein R., Kovesi T., Kraschnewski J. L., Kumar A. P., Labutin D., Lazo-Langner A., Leclercq G., Li M., Li Q., Li T., Liao W. -T., Liao Z. -Y., Lin J., Lizer J., Lobreglio G., Lowies C., Lu C., Majeed H., Martin A., Martinez-Sobrido L., Meresh E., Middelveen M., Mohebbi A., Mota J., Mozaheb Z., Muyaya L., Nandhakumar A., Ng S. H. X., Obeidat M., Oh D. -H., Owais M., Pace-Asciak P., Panwar A., Patterson C., Penagos-Tabaree F., Pianosi P. T., Pinzi V., Pridans C., Psaroulaki A., Pujala R. K., Pulido-Arjona L., Qi P. -F., Rahman P., Rai N. K., Rassaf T., Refardt J., Ricciardi W., Riess O., Rovas A., Sacks F. M., Saleh S., Sampson C., Schmutz A., Sepanski R., Sharma N., Spearman P., Subramaniapillai M., Swali R., Tan C. M., Tellechea J. I., Thomas L. -M., Tong X., Vavvas D. G., Veys R., Vitriol V., Wang H. -D., Waugh J., Webb S. A., Williams B. A., Workman A. D., Xiang T., Xie L. -X., Xu T., Yang C., Yoon J. G., Yuan C. M., Zaritsky A., Zhao H., Zuckerman H., Lyu R., Pullan W., Brown, P, Zhou, Y, Tan, A, El-Esawi, M, Liehr, T, Blanck, O, Gladue, D, Almeida, G, Cernava, T, Sorzano, C, Yeung, A, Engel, M, Chandrasekaran, A, Muth, T, Staege, M, Daulatabad, S, Widera, D, Zhang, J, Meule, A, Honjo, K, Pourret, O, Yin, C, Zhang, Z, Cascella, M, Flegel, W, Goodyear, C, van Raaij, M, Bukowy-Bieryllo, Z, Campana, L, Kurniawan, N, Lalaouna, D, Huttner, F, Ammerman, B, Ehret, F, Cobine, P, Tan, E, Han, H, Xia, W, Mccrum, C, Dings, R, Marinello, F, Nilsson, H, Nixon, B, Voskarides, K, Yang, L, Costa, V, Bengtsson-Palme, J, Bradshaw, W, Grimm, D, Kumar, N, Martis, E, Prieto, D, Sabnis, S, Amer, S, Liew, A, Perco, P, Rahimi, F, Riva, G, Zhang, C, Devkota, H, Ogami, K, Basharat, Z, Fierz, W, Siebers, R, Tan, K, Boehme, K, Brenneisen, P, Brown, J, Dalrymple, B, Harvey, D, Ng, G, Werten, S, Bleackley, M, Dai, Z, Dhariwal, R, Gelfer, Y, Hartmann, M, Miotla, P, Tamaian, R, Govender, P, Gurney-Champion, O, Kauppila, J, Zhang, X, Echeverria, N, Subhash, S, Sallmon, H, Tofani, M, Bae, T, Bosch, O, Cuiv, P, Danchin, A, Diouf, B, Eerola, T, Evangelou, E, Filipp, F, Klump, H, Kurgan, L, Smith, S, Terrier, O, Tuttle, N, Ascher, D, Janga, S, Schulte, L, Becker, D, Browngardt, C, Bush, S, Gaullier, G, Ide, K, Meseko, C, Werner, G, Zaucha, J, Al-Farha, A, Greenwald, N, Popoola, S, Rahman, S, Xu, J, Yang, S, Hiroi, N, Alper, O, Baker, C, Bitzer, M, Chacko, G, Debrabant, B, Dixon, R, Forano, E, Gilliham, M, Kelly, S, Klempnauer, K, Lidbury, B, Lin, M, Lynch, I, Ma, W, Maibach, E, Mather, D, Nandakumar, K, Ohgami, R, Parchi, P, Tressoldi, P, Xue, Y, Armitage, C, Barraud, P, Chatzitheochari, S, Coelho, L, Diao, J, Doxey, A, Gobet, A, Hu, P, Kaiser, S, Mitchell, K, Salama, M, Shabalin, I, Song, H, Stevanovic, D, Yadollahpour, A, Zeng, E, Zinke, K, Alimba, C, Beyene, T, Cao, Z, Chan, S, Gatchell, M, Kleppe, A, Piotrowski, M, Torga, G, Woldesemayat, A, Cosacak, M, Haston, S, Ross, S, Williams, R, Wong, A, Abramowitz, M, Effiong, A, Lee, S, Abid, M, Agarabi, C, Alaux, C, Albrecht, D, Atkins, G, Beck, C, Bonvin, A, Bourke, E, Brand, T, Braun, R, Bull, J, Cardoso, P, Carter, D, Delahay, R, Ducommun, B, Duijf, P, Epp, T, Eskelinen, E, Fallah, M, Farber, D, Fernandez-Triana, J, Feyerabend, F, Florio, T, Friebe, M, Furuta, S, Gabrielsen, M, Gruber, J, Grybos, M, Han, Q, Heinrich, M, Helantera, H, Huber, M, Jeltsch, A, Jiang, F, Josse, C, Jurman, G, Kamiya, H, de Keersmaecker, K, Kristiansson, E, de Leeuw, F, Li, J, Liang, S, Lopez-Escamez, J, Lopez-Ruiz, F, Marchbank, K, Marschalek, R, Martin, C, Miele, A, Montagutelli, X, Morcillo, E, Nicoletti, R, Niehof, M, O'Toole, R, Ohtomo, T, Oster, H, Palma, J, Paterson, R, Peifer, M, Portilla, M, Portillo, M, Pritchard, A, Pusch, S, Raghava, G, Roberts, N, Ross, K, Schuele, B, Sergeant, K, Shen, J, Stella, A, Sukocheva, O, Uversky, V, Vanneste, S, Villet, M, Viveiros, M, Vorholt, J, Weinstock, C, Yamato, M, Zabetakis, I, Zhao, X, Ziegler, A, Aizat, W, Atlas, L, Bridges, K, Chakraborty, S, Deschodt, M, Domingues, H, Esfahlani, S, Falk, S, Guisado, J, Kane, N, Kueberuwa, G, Lau, C, Liang, D, Liu, E, Luu, A, Ma, C, Ma, L, Moyer, R, Norris, A, Panthee, S, Parsons, J, Peng, Y, Pinto, I, Reschke, C, Sillanpaa, E, Stewart, C, Uhle, F, Yang, H, Zhou, K, Zhu, S, Ashry, M, Bergsland, N, Berthold, M, Chen, C, Colella, V, Cuypers, M, Eskew, E, Fan, X, Gajda, M, Gonzalezlez-Prendes, R, Goodin, A, Graham, E, Groen, E, Gutierrez-Sacristan, A, Habes, M, Heffler, E, Higginbottom, D, Janzen, T, Jayaraman, J, Jibb, L, Jongen, S, Kinyanjui, T, Koleva-Kolarova, R, Li, Z, Liu, Y, Lund, B, Lussier, A, Mier, P, Moore, M, Nagler, K, Orme, M, Pearson, J, Prajapati, A, Saito, Y, Troder, S, Uchendu, F, Verloh, N, Voutchkova, D, Abu-Zaid, A, Bakkach, J, Baumert, P, Dono, M, Hanson, J, Herbelet, S, Hobbs, E, Kulkarni, A, Liu, S, Loft, N, Reddan, T, Senghore, T, Vindin, H, Xu, H, Bannon, R, Chen, B, Cheung, J, Cooper, J, Esnakula, A, Feghali, K, Ghelardi, E, Gnasso, A, Horbar, J, Lai, H, Ma, R, Pan, Z, Peres, M, Pranata, R, Seow, E, Sydes, M, Testoni, I, Westermair, A, Yang, Y, Afnan, M, Albiol, J, Albuquerque, L, Amir, S, Amiya, E, Amorim, R, An, Q, Andersen, S, Aplin, J, Argyropoulos, C, Asmann, Y, Assaeed, A, Atanasov, A, Atchison, D, Avery, S, Avillach, P, Baade, P, Backman, L, Badie, C, Baldi, A, Ball, E, Bardot, O, Barnett, A, Basner, M, Batra, J, Bazanova, O, Beale, A, Beddoe, T, Bell, M, Berezikov, E, Berners-Price, S, Bernhardt, P, Berry, E, Bessa, T, Billington, C, Birch, J, Blakely, R, Blaskovich, M, Blum, R, Boelaert, M, Bogdanos, D, Bosch, C, Bourgoin, T, Bouvard, D, Boykin, L, Bradley, G, Braun, D, Brownlie, J, Bruhl, A, Burt, A, Butler, L, Byrareddy, S, Byrne, H, Cabantous, S, Calatayud, S, Candal, E, Carlson, K, Casillas, S, Castelvetro, V, Caswell, P, Cavalli, G, Cerovsky, V, Chagoyen, M, Chen, D, Chen, H, Chen, J, Chen, Y, Cheng, C, Cheng, J, Chinapaw, M, Chinopoulos, C, Cho, W, Chong, L, Chowdhury, D, Chwalibog, A, Ciresi, A, Cockcroft, S, Conesa, A, Cook, P, Cooper, D, Coqueret, O, Corea, E, Costa, A, Costa, E, Coupland, C, Crawford, S, Cruz, A, Cui, H, Cui, Q, Culver, D, D'Angiulli, A, Dahms, T, Daigle, F, Dalgleish, R, Danielsen, H, Darras, S, Davidson, S, Day, D, Degirmenci, V, Demaison, L, Devriendt, K, Ding, J, Dogan, Y, Dong, X, Donner, C, Dressick, W, Drevon, C, Duan, H, Ducho, C, Dumaz, N, Dwarakanath, B, Ebell, M, Eisenhardt, S, Elkum, N, Engel, N, Erickson, T, Fairhead, M, Faville, M, Fejzo, M, Festa, F, Feteira, A, Flood-Page, P, Forsayeth, J, Fox, S, Franks, S, Frentiu, F, Frilander, M, Fu, X, Fujita, S, Galea, I, Galluzzi, L, Gani, F, Ganpule, A, Garcia-Alix, A, Gedye, K, Giordano, M, Giunta, C, Gleeson, P, Goarant, C, Gong, H, Gora, D, Gough, M, Goyal, R, Graham, K, Grande-Perez, A, Graves, P, Greidanus, H, Grice, D, Grunau, C, Gumulya, Y, Guo, Y, Gurevich, V, Gusev, O, Hacker, E, Hage, S, Hagen, G, Hahn, S, Haller, D, Hammerschmidt, S, Han, J, Han, R, Handfield, M, Hapuarachchi, H, Harder, T, Hardingham, J, Heck, M, Heers, M, Hew, K, Higuchi, Y, Hilaire, C, Hilton, R, Hodzic, E, Hone, A, Hongoh, Y, Hu, G, Huber, H, Hueso, L, Huirne, J, Hurt, L, Idborg, H, Ikeo, K, Ingley, E, Jakeman, P, Jensen, A, Jia, H, Jia, S, Jiang, J, Jiang, X, Jin, Y, Jo, D, Johnson, A, Johnston, M, Jonscher, K, Jorens, P, Jorgensen, J, Joubert, J, Jung, S, Junior, A, Kahan, T, Kamboj, S, Kang, Y, Karamanos, Y, Karp, N, Kelly, R, Kenna, R, Kennedy, J, Kersten, B, Khalaf, R, Khalid, J, Khatlani, T, Khider, T, Kijanka, G, King, S, Kluz, T, Knox, P, Kobayashi, T, Koch, K, Kohonen-Corish, M, Kong, X, Konkle-Parker, D, Korpela, K, Kostrikis, L, Kraiczy, P, Kratz, H, Krause, G, Krebsbach, P, Kristensen, S, Kumari, P, Kunimatsu, A, Kurdak, H, Kwon, Y, Lachat, C, Lagisz, M, Laky, B, Lammerding, J, Lange, M, Larrosa, M, Laslett, A, Laverman, G, Leclair, E, Lee, K, Lee, M, Li, G, Lieb, K, Lim, Y, Lindsey, M, Line, P, Liu, D, Liu, F, Liu, H, Lloyd, V, Lo, T, Locci, E, Loidl, J, Lorenzen, J, Lorkowski, S, Lovell, N, Lu, H, Lu, W, Lu, Z, Luengo, G, Lundh, L, Lysy, P, Mabb, A, Mack, H, Mackey, D, Mahdavi, S, Maher, P, Maher, T, Maity, S, Malgrange, B, Mamoulakis, C, Mangoni, A, Manke, T, Manstead, A, Mantalaris, A, Marsal, J, Marschall, H, Martin, F, Martinez-Raga, J, Martinez-Salas, E, Mathieu, D, Matsui, Y, Maza, E, Mccutcheon, J, Mckay, G, Mcmillan, B, Mcmillan, N, Meads, C, Medina, L, Merrick, B, Metzger, D, Meunier, F, Michaelis, M, Micheau, O, Mihara, H, Mintz, E, Mizukami, T, Moalic, Y, Mohapatra, D, Monteiro, A, Montes, M, Moran, J, Morozov, S, Mort, M, Murai, N, Murphy, D, Murphy, S, Murray, S, Naganawa, S, Nammi, S, Nasios, G, Natoli, R, Nguyen, F, Nicol, C, van Nieuwerburgh, F, Nilsen, E, Nobile, C, O'Mahony, M, Ohlsson, S, Olatunbosun, O, Olofsson, P, Ortiz, A, Ostrikov, K, Otto, S, Outeiro, T, Ouyang, S, Paganoni, S, Page, A, Palm, C, Paradies, Y, Parsons, M, Parsons, N, Pascal, P, Paul, E, Peckham, M, Pedemonte, N, Pellizzon, M, Petrelli, M, Pichugin, A, Pinto, C, Plevris, J, Pollesello, P, Polz, M, Ponti, G, Porcelli, P, Prince, M, Quinn, G, Quinn, T, Ramula, S, Rappsilber, J, Rehfeldt, F, Reiling, J, Remacle, C, Rezaei, M, Riddick, E, Ritter, U, Roach, N, Roberts, D, Robles, G, Rodrigues, T, Rodriguez, C, Roislien, J, Roobol, M, Rowe, A, Ruepp, A, van Ruitenbeek, J, Rust, P, Saad, S, Sack, G, Santos, M, Saudemont, A, Sava, G, Schrading, S, Schramm, A, Schreiber, M, Schuler, S, Schymkowitz, J, Sczyrba, A, Seib, K, Shi, H, Shimada, T, Shin, J, Shortt, C, Silveyra, P, Skinner, D, Small, I, Smeets, P, So, P, Solano, F, Sonenshine, D, Song, J, Southall, T, Speakman, J, Srinivasan, M, Stabile, L, Stasiak, A, Steadman, K, Stein, N, Stephens, A, Stewart, D, Stine, K, Storlazzi, C, Stoynova, N, Strzalka, W, Suarez, O, Sultana, T, Sumant, A, Summers, M, Sun, G, Tacon, P, Tanaka, K, Tang, H, Tanino, Y, Targett-Adams, P, Tayebi, M, Tayyem, R, Tebbe, C, Telfer, E, Tempel, W, Teodorczyk-Injeyan, J, Thijs, G, Thorne, S, Thrift, A, Tiffon, C, Tinnefeld, P, Tjahjono, D, Tolle, F, Toth, E, Del Tredici, A, Tsapas, A, Tsirigotis, K, Turak, A, Tzotzos, G, Udo, E, Utsumi, T, Vaidyanathan, S, Vaillant, M, Valsesia, A, Vandenbroucke, R, Veiga, F, Vendrell, M, Vesk, P, Vickers, P, Victor, V, Villemur, R, Vohl, M, Voolstra, C, Vuillemin, A, Wakelin, S, Waldron, L, Walsh, L, Wang, A, Wang, F, Wang, Y, Watanabe, Y, Weigert, A, Wen, J, Wham, C, White, E, Wiener, J, Wilharm, G, Wilkinson, S, Willmann, R, Wilson, C, Wirth, B, Wojan, T, Wolff, M, Wong, B, Wu, T, Wuerbel, H, Xiao, X, Xu, D, Xue, B, Yalcin, S, Yan, H, Yang, E, Yang, W, Ye, Y, Ye, Z, Yli-Kauhaluoma, J, Yoneyama, H, Yu, Y, Yuan, G, Yuh, C, Zaccolo, M, Zeng, C, Zevnik, B, Zhang, L, Zhang, Y, Zhao, Y, Zhou, M, Zuberbier, T, Aanei, C, Ahmad, R, Al-Lawama, M, Alanio, A, Allardyce, J, Alonso-Caneiro, D, Atack, J, Baier, D, Bansal, A, Benezeth, Y, Berbesque, C, Berrevoet, F, Biedermann, P, Bijleveld, E, Bittner, F, Blombach, F, van den Bos, W, Boudreau, S, Bramoweth, A, Braubach, O, Cai, Y, Campbell, M, Catry, T, Chen, X, Cheng, S, Chung, H, Chavez-Fumagalli, M, Conway, A, Costa, B, Cyr, N, Dean, L, Denzel, M, Dlamini, S, Dudley, K, Dufies, M, Ecke, T, Eckweiler, D, Eixarch, E, El-Adawy, H, Emmrich, J, Eustace, A, Falter-Wagner, C, Farhoudi, R, Fuss, J, Gao, J, Gill, M, Gloyn, L, Goggs, R, Govinden, U, Greene, G, Greiff, V, Grundle, D, Gruneberg, P, Gumede, N, Haore, G, Harrison, P, Hoenner, X, Hojsgaard, D, Hori, H, Ikonomopoulou, M, Jeurissen, P, Johnson, D, Kabra, D, Kamagata, K, Karmakar, C, Kasian, O, Kaye, L, Khan, M, Kim, Y, Kish, J, Kobold, S, Kohanbash, G, Kohls, G, Kugler, J, Kumar, G, Lacy-Colson, J, Latif, A, Lauschke, V, Li, B, Lim, C, Liu, X, Lu, J, Lu, Q, Mahavadi, P, Marzocchi, U, Mcgarrigle, C, van Meerten, T, Min, R, Moal, I, Molari, M, Molleman, L, Mondal, S, van de Mortel, T, Moss, W, Moultos, O, Mukherjee, M, Nakayama, K, Narayan, E, Navaratnarajah, Neumann, P, Nie, J, Nie, Y, Niemeyer, F, Nolan, F, Nwaiwu, O, Oldenmenger, W, Olumayede, E, Ou, J, Pallebage-Gamarallage, M, Pearce, S, Pelkonen, T, Pelleri, M, Pereira, J, Pheko, M, Pinto, K, Piovesan, A, Pluess, M, Podolsky, I, Prescott, J, Qi, D, Qi, X, Raikou, V, Ranft, A, Rhodes, J, Rotge, J, Saggar, M, Schuon, R, Shahid, S, Shalchyan, V, Shirvalkar, P, Shiryayev, O, Singh, J, Smout, M, Soares, A, Song, C, Srivastava, K, Srivastava, R, Sun, J, Szabo, A, Szymanski, W, Tai, C, Takeuchi, H, Tanadini-Lang, S, Tang, F, Tao, W, Theron, G, Tian, C, Tian, Y, Tuttle, L, Valenti, A, Verlot, P, Walker, M, Wang, J, Welter, D, Winslade, M, Wu, D, Wu, Y, Xiao, H, Xu, B, Xu, Z, Yang, D, Yang, M, Yankilevich, P, You, Y, Yu, C, Zhan, J, Zhang, G, Zhang, K, Zhang, T, Zhao, G, Zhao, J, Zhou, X, Zhu, Z, Ajani, P, Anazodo, U, Bagloee, S, Bail, K, Bar, I, Bathelt, J, Benkeser, D, Bernier, M, Blanchard, A, Boakye, D, Bonatsos, V, Boon, M, Bouboulis, G, Bromfield, E, Bul, K, Burton, K, Butkowski, E, Carroll, G, Chao, F, Charrier, E, Chenguang, Choi, J, Christoffersen, T, Comel, J, Cosse, C, Cui, Y, van Dessel, P, Dhaval, Diodato, D, Duffey, M, Dutt, A, Egea, L, El-Said, M, Faye, M, Fernandez-Fernandez, B, Foley, K, Founou, L, Fu, F, Gadelkareem, R, Galimov, E, Garip, G, Gemmill, A, Gouil, Q, Grey, J, Gridneva, Z, Grothe, M, Grebert, T, Guerrero, F, Guignard, L, Haenssgen, M, Hasler, D, Holgate, J, Huang, A, Hulse-Kemp, A, Jean-Quartier, C, Jeon, S, Jia, Y, Jutzeler, C, Kalatzis, P, Karim, M, Karsay, K, Keitel, A, Kempe, A, Keown, J, Khoo, C, Khwaja, N, Kievit, R, Kosanic, S, Koutoukidis, D, Kramer, P, Kumar, D, Kirag, N, Lanza, G, Le, T, Leem, J, Leightley, D, Leite, A, Lercher, L, Li, Y, Lim, R, Lima, L, Lin, L, Ling, T, Liu, Z, Lu, Y, Lum, F, Luo, H, Machhi, J, Macleod, A, Macwan, I, Madala, H, Madani, N, de Maio, N, Makowiecki, K, Mallinson, D, Margelyte, R, Maria, C, Markonis, Y, Marsili, L, Mavoa, S, Mcwilliams, L, Megersa, M, Souto-Maior, C, Menichetti, J, Mercieca-Bebber, R, Miller, J, Minde, D, Minges, A, Mishra, E, Mishra, V, Moores, C, Morrice, N, Moskalensky, A, Navarin, N, Negera, E, Nolet, P, Nordberg, A, Norden, R, Nowicki, J, Olova, N, Olszewski, P, Onzima, R, Pan, C, Park, C, Park, D, Park, S, Patil, C, Pedro, S, Perry, S, Peter, J, Peterson, B, Pezzuolo, A, Pozdnyakov, I, Qian, S, Qin, L, Rafe, A, Raote, I, Raza, A, Rebl, H, Refai, O, Regan, T, Richa, T, Richardson, M, Robinson, K, Rossoni, L, Rouet, R, Safaei, S, Schneeberger, P, Schwotzer, D, Sebastian, A, Selinski, J, Seltmann, S, Sha, F, Shalev, N, Shang, J, Singer, J, Singh, M, Smith, T, Solomon-Moore, E, Song, L, Soraggi, S, Stanley, R, Steckhan, N, Strobl, F, Subissi, L, Supriyanto, I, Surve, C, Suzuki, T, Syme, C, Sorelius, K, Tang, Y, Tantawy, M, Tennakoon, S, Teseo, S, Toelzer, C, Tomov, N, Tovar, M, Tran, L, Tripathi, S, Tuladhar, A, Ukubuiwe, A, Ung, C, Valgepea, K, Vatanparast, H, Vidal, A, Wang, Q, Watari, R, Webster, R, Wei, J, Wibowo, D, Wingenbach, T, Xavier, R, Xiao, S, Xiong, P, Xu, S, Yao, R, Yao, W, Yin, Q, Zaitsu, M, Zeineb, Z, Zhan, X, Zhang, R, Zhang, W, Zheng, S, Zhou, B, Ahmad, H, Akinwumi, S, Albery, G, Alhowimel, A, Ali, J, Alshehri, M, Alsuhaibani, M, Anikin, A, Azubuike, S, Bach-Mortensen, A, Baltiansky, L, Bartas, M, Belachew, K, Bhardwaj, V, Binder, K, Bland, N, Boah, M, Bullen, B, Calabro, G, Callahan, T, Cao, B, Chalmers, K, Chang, W, Che, Z, Chen, A, Chen, Z, Choi, Y, Chowdhury, M, Christensen, M, Cooke, R, Cottini, M, Covington, N, Cunningham, C, Delarocque, J, Devos, L, Dhar, A, Ding, K, Dong, K, Dong, Z, Dreyer, N, Ekstrand, C, Fardet, T, Feleke, B, Feurer, T, Freitas, A, Gao, T, Gebremedhin, Giganti, F, Grabowski, P, Guerra-Mora, J, Guo, C, Guo, X, Gupta, H, He, S, Heijne, M, Heinemann, S, Hogrebe, A, Huang, Z, Iskander-Rizk, S, Iyer, L, Jahan, Y, James, A, Joel, E, Joffroy, B, Jegousse, C, Kambondo, G, Karnati, P, Kaya, C, Ke, A, Kelly, D, Kickert, R, Kidibule, P, Kieselmann, J, Kim, H, Kitazawa, T, Lamberts, A, Liang, H, Linn, S, Litfin, T, Liusuo, W, Lygirou, V, Mahato, A, Mai, Z, Major, R, Mali, S, Mallis, P, Mao, W, Marvin-Dowle, K, Mason, L, Merideth, B, Merino-Plaza, M, Merlaen, B, Messina, R, Mishra, A, Muhammad, J, Musinguzi, C, Nanou, A, Naqash, A, Nguyen, J, Nguyen, T, Ni, D, Nida, Notcovich, S, Ohst, B, Ollivier, Q, Osses, D, Peng, X, Plantinga, A, Pulia, M, Rafiq, M, Raman, A, Raucher-Chene, Rawski, R, Ray, A, Razak, L, Rudolf, K, Rusch, P, Sadoine, M, Schmidt, A, Schurr, R, Searles, S, Sharma, S, Sheehan, B, Shi, C, Shohayeb, B, Sommerlad, A, Strehlow, J, Sun, X, Sundar, R, Taherzadeh, G, Tahir, N, Tang, J, Testa, J, Tian, Z, Tingting, Q, Verheijen, G, Vickstrom, C, Wang, T, Wang, X, Wang, Z, Wei, P, Wilson, A, Wyart, Yassine, A, Yousefzadeh, A, Zare, A, Zeng, Z, Zhang, H, Zhou, J, Zhu, D, Adamo, V, Adeyemo, A, Aggelidou, M, Al-Owaifeer, A, Al-Riyami, A, Alzghari, S, Andersen, V, Angus, K, Asaduzzaman, M, Asady, H, Ato, D, Bai, X, Baines, R, Ballantyne, M, Ban, B, Beck, J, Ben-Nafa, W, Black, E, Blancher, A, Blankstein, R, Bodagh, N, Borges, P, Brooks, A, Brox-Ponce, J, Brunetti, A, Canham, C, Carninci, P, Carvajal, R, Chang, S, Chao, J, Chatterjee, P, Chen, L, Chhatriwalla, A, Chikowe, I, Chuang, T, Collevatti, R, Cornejo, D, Cuenda, A, Dao, M, Dauga, D, Deng, Z, Devkota, K, Doan, L, Elewa, Y, Fan, D, Faruk, M, Feifei, S, Ferguson, T, Fleres, F, Foster, E, Foster, S, Furer, T, Gao, Y, Garcia-Rivera, E, Gazdar, A, George, R, Ghosh, S, Gianchecchi, E, Gleason, J, Hackshaw, A, Hall, A, Hall, R, Harper, P, Hogg, W, Huang, G, Hunter, K, Ijzerman, A, Jesus, C, Jian, G, Lewis, J, Kanj, S, Kaur, H, Kheir, F, Kichatova, V, Kiyani, M, Klein, R, Kovesi, T, Kraschnewski, J, Kumar, A, Labutin, D, Lazo-Langner, A, Leclercq, G, Li, M, Li, Q, Li, T, Liao, W, Liao, Z, Lin, J, Lizer, J, Lobreglio, G, Lowies, C, Lu, C, Majeed, H, Martin, A, Martinez-Sobrido, L, Meresh, E, Middelveen, M, Mohebbi, A, Mota, J, Mozaheb, Z, Muyaya, L, Nandhakumar, A, Ng, S, Obeidat, M, Oh, D, Owais, M, Pace-Asciak, P, Panwar, A, Patterson, C, Penagos-Tabaree, F, Pianosi, P, Pinzi, V, Pridans, C, Psaroulaki, A, Pujala, R, Pulido-Arjona, L, Qi, P, Rahman, P, Rai, N, Rassaf, T, Refardt, J, Ricciardi, W, Riess, O, Rovas, A, Sacks, F, Saleh, S, Sampson, C, Schmutz, A, Sepanski, R, Sharma, N, Spearman, P, Subramaniapillai, M, Swali, R, Tan, C, Tellechea, J, Thomas, L, Tong, X, Vavvas, D, Veys, R, Vitriol, V, Wang, H, Waugh, J, Webb, S, Williams, B, Workman, A, Xiang, T, Xie, L, Xu, T, Yang, C, Yoon, J, Yuan, C, Zaritsky, A, Zhao, H, Zuckerman, H, Lyu, R, Pullan, W, Brown P., Zhou Y., Tan A. -C., El-Esawi M. A., Liehr T., Blanck O., Gladue D. P., Almeida G. M. F., Cernava T., Sorzano C. O., Yeung A. W. K., Engel M. S., Chandrasekaran A. R., Muth T., Staege M. S., Daulatabad S. V., Widera D., Zhang J., Meule A., Honjo K., Pourret O., Yin C. -C., Zhang Z., Cascella M., Flegel W. A., Goodyear C. S., van Raaij M. J., Bukowy-Bieryllo Z., Campana L. G., Kurniawan N. A., Lalaouna D., Huttner F. J., Ammerman B. A., Ehret F., Cobine P. A., Tan E. -C., Han H., Xia W., McCrum C., Dings R. P. M., Marinello F., Nilsson H., Nixon B., Voskarides K., Yang L., Costa V. D., Bengtsson-Palme J., Bradshaw W., Grimm D. G., Kumar N., Martis E., Prieto D., Sabnis S. C., Amer S. E. D. R., Liew A. W. C., Perco P., Rahimi F., Riva G., Zhang C., Devkota H. P., Ogami K., Basharat Z., Fierz W., Siebers R., Tan K. H., Boehme K. A., Brenneisen P., Brown J. A. L., Dalrymple B. P., Harvey D. J., Ng G., Werten S., Bleackley M., Dai Z., Dhariwal R., Gelfer Y., Hartmann M. D., Miotla P., Tamaian R., Govender P., Gurney-Champion O. J., Kauppila J. H., Zhang X., Echeverria N., Subhash S., Sallmon H., Tofani M., Bae T., Bosch O., Cuiv P. O., Danchin A., Diouf B., Eerola T., Evangelou E., Filipp F., Klump H., Kurgan L., Smith S. S., Terrier O., Tuttle N., Ascher D. B., Janga S. C., Schulte L. N., Becker D., Browngardt C., Bush S. J., Gaullier G., Ide K., Meseko C., Werner G. D. A., Zaucha J., Al-Farha A. A., Greenwald N. F., Popoola S. I., Rahman S., Xu J., Yang S. Y., Hiroi N., Alper O. M., Baker C. I., Bitzer M., Chacko G., Debrabant B., Dixon R., Forano E., Gilliham M., Kelly S., Klempnauer K. -H., Lidbury B. A., Lin M. Z., Lynch I., Ma W., Maibach E. W., Mather D. E., Nandakumar K. S., Ohgami R. S., Parchi P., Tressoldi P., Xue Y., Armitage C., Barraud P., Chatzitheochari S., Coelho L. P., Diao J., Doxey A. C., Gobet A., Hu P., Kaiser S., Mitchell K. M., Salama M. F., Shabalin I. G., Song H., Stevanovic D., Yadollahpour A., Zeng E., Zinke K., Alimba C. G., Beyene T. J., Cao Z., Chan S. S., Gatchell M., Kleppe A., Piotrowski M., Torga G., Woldesemayat A. A., Cosacak M. I., Haston S., Ross S. A., Williams R., Wong A., Abramowitz M. K., Effiong A., Lee S., Abid M. B., Agarabi C., Alaux C., Albrecht D. R., Atkins G. J., Beck C. R., Bonvin A. M. J. J., Bourke E., Brand T., Braun R. J., Bull J. A., Cardoso P., Carter D., Delahay R. M., Ducommun B., Duijf P. H. G., Epp T., Eskelinen E. -L., Fallah M., Farber D. B., Fernandez-Triana J., Feyerabend F., Florio T., Friebe M., Furuta S., Gabrielsen M., Gruber J., Grybos M., Han Q., Heinrich M., Helantera H., Huber M., Jeltsch A., Jiang F., Josse C., Jurman G., Kamiya H., de Keersmaecker K., Kristiansson E., de Leeuw F. -E., Li J., Liang S., Lopez-Escamez J. A., Lopez-Ruiz F. J., Marchbank K. J., Marschalek R., Martin C. S., Miele A. E., Montagutelli X., Morcillo E., Nicoletti R., Niehof M., O'Toole R., Ohtomo T., Oster H., Palma J. -A., Paterson R., Peifer M., Portilla M., Portillo M. C., Pritchard A. L., Pusch S., Raghava G. P. S., Roberts N. J., Ross K., Schuele B., Sergeant K., Shen J., Stella A., Sukocheva O., Uversky V. N., Vanneste S., Villet M. H., Viveiros M., Vorholt J. A., Weinstock C., Yamato M., Zabetakis I., Zhao X., Ziegler A., Aizat W. M., Atlas L., Bridges K. M., Chakraborty S., Deschodt M., Domingues H. S., Esfahlani S. S., Falk S., Guisado J. L., Kane N. C., Kueberuwa G., Lau C. L., Liang D., Liu E., Luu A. M., Ma C., Ma L., Moyer R., Norris A. D., Panthee S., Parsons J. R., Peng Y., Pinto I. M., Reschke C. R., Sillanpaa E., Stewart C. J., Uhle F., Yang H., Zhou K., Zhu S., Ashry M., Bergsland N., Berthold M., Chen C. -E., Colella V., Cuypers M., Eskew E. A., Fan X., Gajda M., Gonzalezlez-Prendes R., Goodin A., Graham E. B., Groen E. J. N., Gutierrez-Sacristan A., Habes M., Heffler E., Higginbottom D. B., Janzen T., Jayaraman J., Jibb L. A., Jongen S., Kinyanjui T., Koleva-Kolarova R. G., Li Z., Liu Y. -P., Lund B. A., Lussier A. A., Mier P., Moore M. D., Nagler K., Orme M. W., Pearson J. A., Prajapati A. S., Saito Y., Troder S. E., Uchendu F., Verloh N., Voutchkova D. D., Abu-Zaid A., Bakkach J., Baumert P., Dono M., Hanson J., Herbelet S., Hobbs E., Kulkarni A., Liu S., Loft N. D., Reddan T., Senghore T., Vindin H., Xu H., Bannon R., Chen B., Cheung J. T. K., Cooper J., Esnakula A. K., Feghali K. A., Ghelardi E., Gnasso A., Horbar J., Lai H. M., Ma R., Pan Z., Peres M. A., Pranata R., Seow E., Sydes M., Testoni I., Westermair A. L., Yang Y., Afnan M., Albiol J., Albuquerque L. G., Amir S., Amiya E., Amorim R. M., An Q., Andersen S. U., Aplin J. D., Argyropoulos C., Asmann Y. W., Assaeed A. M., Atanasov A. G., Atchison D. A., Avery S. V., Avillach P., Baade P. D., Backman L., Badie C., Baldi A., Ball E., Bardot O., Barnett A. G., Basner M., Batra J., Bazanova O. M., Beale A., Beddoe T., Bell M. L., Berezikov E., Berners-Price S., Bernhardt P., Berry E., Bessa T. B., Billington C., Birch J., Blakely R. D., Blaskovich M. A. T., Blum R., Boelaert M., Bogdanos D., Bosch C., Bourgoin T., Bouvard D., Boykin L. M., Bradley G., Braun D., Brownlie J., Bruhl A., Burt A., Butler L. M., Byrareddy S. N., Byrne H. J., Cabantous S., Calatayud S., Candal E., Carlson K., Casillas S., Castelvetro V., Caswell P. T., Cavalli G., Cerovsky V., Chagoyen M., Chen C. -S., Chen D. F., Chen H., Chen J. -T., Chen Y., Cheng C., Cheng J., Chinapaw M., Chinopoulos C., Cho W. C. S., Chong L., Chowdhury D., Chwalibog A., Ciresi A., Cockcroft S., Conesa A., Cook P. A., Cooper D. N., Coqueret O., Corea E. M., Costa A., Costa E., Coupland C., Crawford S. Y., Cruz A. D., Cui H., Cui Q., Culver D. C., D'Angiulli A., Dahms T. E. S., Daigle F., Dalgleish R., Danielsen H. E., Darras S., Davidson S. M., Day D. A., Degirmenci V., Demaison L., Devriendt K., Ding J., Dogan Y., Dong X. C., Donner C. F., Dressick W., Drevon C. A., Duan H., Ducho C., Dumaz N., Dwarakanath B. S., Ebell M. H., Eisenhardt S., Elkum N., Engel N., Erickson T. B., Fairhead M., Faville M. J., Fejzo M. S., Festa F., Feteira A., Flood-Page P., Forsayeth J., Fox S. A., Franks S. J., Frentiu F. D., Frilander M. J., Fu X., Fujita S., Galea I., Galluzzi L., Gani F., Ganpule A. P., Garcia-Alix A., Gedye K., Giordano M., Giunta C., Gleeson P. A., Goarant C., Gong H., Gora D., Gough M. J., Goyal R., Graham K. E., Grande-Perez A., Graves P. M., Greidanus H., Grice D., Grunau C., Gumulya Y., Guo Y., Gurevich V. V., Gusev O., Hacker E., Hage S. R., Hagen G., Hahn S., Haller D. M., Hammerschmidt S., Han J., Han R., Handfield M., Hapuarachchi H. C., Harder T., Hardingham J. E., Heck M., Heers M., Hew K. F., Higuchi Y., Hilaire C. St., Hilton R., Hodzic E., Hone A., Hongoh Y., Hu G., Huber H. P., Hueso L. E., Huirne J., Hurt L., Idborg H., Ikeo K., Ingley E., Jakeman P. M., Jensen A., Jia H., Jia S., Jiang J., Jiang X., Jin Y., Jo D., Johnson A. M., Johnston M., Jonscher K. R., Jorens P. G., Jorgensen J. O. L., Joubert J. W., Jung S. -H., Junior A. M., Kahan T., Kamboj S. K., Kang Y. -K., Karamanos Y., Karp N. A., Kelly R., Kenna R., Kennedy J., Kersten B., Khalaf R. A., Khalid J. M., Khatlani T., Khider T., Kijanka G. S., King S. R. B., Kluz T., Knox P., Kobayashi T., Koch K. -W., Kohonen-Corish M. R. J., Kong X., Konkle-Parker D., Korpela K. M., Kostrikis L. G., Kraiczy P., Kratz H., Krause G., Krebsbach P. H., Kristensen S. R., Kumari P., Kunimatsu A., Kurdak H., Kwon Y. D., Lachat C., Lagisz M., Laky B., Lammerding J., Lange M., Larrosa M., Laslett A. L., Laverman G. D., Leclair E. E., Lee K. -W., Lee M. -Y., Lee M. -S., Li G., Lieb K., Lim Y. Y., Lindsey M. L., Line P. -D., Liu D., Liu F., Liu H., Lloyd V. K., Lo T. -W., Locci E., Loidl J., Lorenzen J., Lorkowski S., Lovell N. H., Lu H., Lu W., Lu Z., Luengo G. S., Lundh L. -G., Lysy P. A., Mabb A., Mack H. G., Mackey D. A., Mahdavi S. R., Maher P., Maher T., Maity S. N., Malgrange B., Mamoulakis C., Mangoni A. A., Manke T., Manstead A. S. R., Mantalaris A., Marsal J., Marschall H. -U., Martin F. L., Martinez-Raga J., Martinez-Salas E., Mathieu D., Matsui Y., Maza E., McCutcheon J. E., McKay G. J., McMillan B., McMillan N., Meads C., Medina L., Merrick B. A., Metzger D. W., Meunier F. A., Michaelis M., Micheau O., Mihara H., Mintz E. M., Mizukami T., Moalic Y., Mohapatra D. P., Monteiro A., Montes M., Moran J. V., Morozov S. Y., Mort M., Murai N., Murphy D. J., Murphy S. K., Murray S. A., Naganawa S., Nammi S., Nasios G., Natoli R. M., Nguyen F., Nicol C., van Nieuwerburgh F., Nilsen E. B., Nobile C. J., O'Mahony M., Ohlsson S., Olatunbosun O., Olofsson P., Ortiz A., Ostrikov K., Otto S., Outeiro T. F., Ouyang S., Paganoni S., Page A., Palm C., Paradies Y., Parsons M. H., Parsons N., Pascal P., Paul E., Peckham M., Pedemonte N., Pellizzon M. A., Petrelli M., Pichugin A., Pinto C. J. C., Plevris J. N., Pollesello P., Polz M., Ponti G., Porcelli P., Prince M., Quinn G. P., Quinn T. J., Ramula S., Rappsilber J., Rehfeldt F., Reiling J. H., Remacle C., Rezaei M., Riddick E. W., Ritter U., Roach N. W., Roberts D. D., Robles G., Rodrigues T., Rodriguez C., Roislien J., Roobol M. J., Rowe A., Ruepp A., van Ruitenbeek J., Rust P., Saad S., Sack G. H., Santos M., Saudemont A., Sava G., Schrading S., Schramm A., Schreiber M., Schuler S., Schymkowitz J., Sczyrba A., Seib K. L., Shi H. -P., Shimada T., Shin J. -S., Shortt C., Silveyra P., Skinner D., Small I., Smeets P. A. M., So P. -W., Solano F., Sonenshine D. E., Song J., Southall T., Speakman J. R., Srinivasan M. V., Stabile L. P., Stasiak A., Steadman K. J., Stein N., Stephens A. W., Stewart D. I., Stine K., Storlazzi C., Stoynova N. V., Strzalka W., Suarez O. M., Sultana T., Sumant A. V., Summers M. J., Sun G., Tacon P., Tanaka K., Tang H., Tanino Y., Targett-Adams P., Tayebi M., Tayyem R., Tebbe C. C., Telfer E. E., Tempel W., Teodorczyk-Injeyan J. A., Thijs G., Thorne S., Thrift A. G., Tiffon C., Tinnefeld P., Tjahjono D. H., Tolle F., Toth E., Del Tredici A. L., Tsapas A., Tsirigotis K., Turak A., Tzotzos G., Udo E. E., Utsumi T., Vaidyanathan S., Vaillant M., Valsesia A., Vandenbroucke R. E., Veiga F. H., Vendrell M., Vesk P. A., Vickers P., Victor V. M., Villemur R., Vohl M. -C., Voolstra C. R., Vuillemin A., Wakelin S., Waldron L., Walsh L. J., Wang A. Y., Wang F., Wang Y., Watanabe Y., Weigert A., Wen J. -C., Wham C., White E. P., Wiener J., Wilharm G., Wilkinson S., Willmann R., Wilson C., Wirth B., Wojan T. R., Wolff M., Wong B. M., Wu T. -W., Wuerbel H., Xiao X., Xu D., Xu J. W., Xue B., Yalcin S., Yan H., Yang E. -C., Yang S., Yang W., Ye Y., Ye Z. -Q., Yli-Kauhaluoma J., Yoneyama H., Yu Y., Yuan G. -C., Yuh C. -H., Zaccolo M., Zeng C., Zevnik B., Zhang L., Zhang Y., Zhang Z. -Y., Zhao Y., Zhou M., Zuberbier T., Aanei C. M., Ahmad R., Al-Lawama M., Alanio A., Allardyce J., Alonso-Caneiro D., Atack J. M., Baier D., Bansal A., Benezeth Y., Berbesque C., Berrevoet F., Biedermann P. H. W., Bijleveld E., Bittner F., Blombach F., van den Bos W., Boudreau S. A., Bramoweth A. D., Braubach O., Cai Y., Campbell M., Catry T., Chen X., Cheng S., Chung H. -J., Chavez-Fumagalli M. A., Conway A., Costa B. M., Cyr N., Dean L. T., Denzel M. S., Dlamini S. V., Dudley K. J., Dufies M., Ecke T., Eckweiler D., Eixarch E., El-Adawy H., Emmrich J. V., Eustace A. J., Falter-Wagner C. M., Farhoudi R., Fuss J., Gao J., Gill M. R., Gloyn L., Goggs R., Govinden U., Greene G., Greiff V., Grundle D. S., Gruneberg P., Gumede N., Haore G., Harrison P., Hoenner X., Hojsgaard D., Hori H., Ikonomopoulou M. P., Jeurissen P., Johnson D. M., Kabra D., Kamagata K., Karmakar C., Kasian O., Kaye L. K., Khan M. M., Kim Y. -M., Kish J. K., Kobold S., Kohanbash G., Kohls G., Kugler J. -M., Kumar G., Lacy-Colson J., Latif A., Lauschke V. M., Li B., Lim C. J., Liu X., Lu J. -J., Lu Q., Mahavadi P., Marzocchi U., McGarrigle C. A., van Meerten T., Min R., Moal I., Molari M., Molleman L., Mondal S. R., van de Mortel T., Moss W. N., Moultos O. A., Mukherjee M., Nakayama K., Narayan E., Neumann P. -A., Nie J., Nie Y., Niemeyer F., Nolan F., Nwaiwu O., Oldenmenger W. H., Olumayede E., Ou J., Pallebage-Gamarallage M., Pearce S. P., Pelkonen T., Pelleri M. C., Pereira J. L., Pheko M., Pinto K. A., Piovesan A., Pluess M., Podolsky I. M., Prescott J., Qi D., Qi X., Raikou V. D., Ranft A., Rhodes J., Rotge J. -Y., Rowe A. D., Saggar M., Schuon R. A., Shahid S., Shalchyan V., Shirvalkar P., Shiryayev O., Singh J., Smout M. J., Soares A., Song C., Srivastava K., Srivastava R. K., Sun J., Szabo A., Szymanski W., Tai C. N. P., Takeuchi H., Tanadini-Lang S., Tang F., Tao W., Theron G., Tian C. F., Tian Y. -S., Tuttle L. M., Valenti A., Verlot P., Walker M., Wang J., Welter D., Winslade M., Wu D., Wu Y. -R., Xiao H., Xu B., Xu Z., Yang D., Yang M., Yankilevich P., You Y., Yu C., Zhan J., Zhang G., Zhang K., Zhang T., Zhao G., Zhao J., Zhou X., Zhu Z., Ajani P. A., Anazodo U. C., Bagloee S. A., Bail K., Bar I., Bathelt J., Benkeser D., Bernier M. L., Blanchard A. M., Boakye D. W., Bonatsos V., Boon M. H., Bouboulis G., Bromfield E., Brown J., Bul K. C. M., Burton K. J., Butkowski E. G., Carroll G., Chao F., Charrier E. E., Chen Y. -C., Choi J. R., Christoffersen T., Comel J. C., Cosse C., Cui Y., van Dessel P., Diodato D., Duffey M., Dutt A., Egea L. G., El-Said M., Faye M., Fernandez-Fernandez B., Foley K. G., Founou L. L., Fu F., Gadelkareem R. A., Galimov E., Garip G., Gemmill A., Gouil Q., Grey J., Gridneva Z., Grothe M. J., Grebert T., Guerrero F., Guignard L., Haenssgen M. J., Hasler D., Holgate J. Y., Huang A., Hulse-Kemp A. M., Jean-Quartier C., Jeon S. -M., Jia Y., Jutzeler C., Kalatzis P., Karim M., Karsay K., Keitel A., Kempe A., Keown J. R., Khoo C. M., Khwaja N., Kievit R. A., Kosanic S., Koutoukidis D. A., Kramer P., Kumar D., Kirag N., Lanza G., Le T. D., Leem J. W., Leightley D., Leite A., Lercher L., Li Y., Lim R., Lima L. R. A., Lin L., Ling T., Liu Y., Liu Z., Lu Y., Lum F. M., Luo H., Machhi J., Macleod A., Macwan I., Madala H. R., Madani N., de Maio N., Makowiecki K., Mallinson D. J., Margelyte R., Maria C., Markonis Y., Marsili L., Mavoa S., McWilliams L., Megersa M., Souto-Maior C., Menichetti J., Mercieca-Bebber R., Miller J. J., Minde D. -P. M., Minges A., Mishra E., Mishra V. R., Moores C., Morrice N., Moskalensky A. E., Navarin N., Negera E., Nolet P., Nordberg A., Norden R., Nowicki J. P., Olova N., Olszewski P., Onzima R., Pan C. -L., Park C., Park D. I., Park S., Patil C. D., Pedro S. A., Perry S. R., Peter J., Peterson B. M., Pezzuolo A., Pozdnyakov I., Qian S., Qin L., Rafe A., Raote I., Raza A., Rebl H., Refai O., Regan T., Richa T., Richardson M. F., Robinson K. R., Rossoni L., Rouet R., Safaei S., Schneeberger P. H. H., Schwotzer D., Sebastian A., Selinski J., Seltmann S., Sha F., Shalev N., Shang J. -L., Singer J., Singh M., Smith T., Solomon-Moore E., Song L., Soraggi S., Stanley R., Steckhan N., Strobl F., Subissi L., Supriyanto I., Surve C. R., Suzuki T., Syme C., Sorelius K., Tang Y., Tantawy M., Tennakoon S., Teseo S., Toelzer C., Tomov N., Tovar M., Tran L., Tripathi S., Tuladhar A. M., Ukubuiwe A. C., Ung C. O. L., Valgepea K., Vatanparast H., Vidal A., Wang Q., Watari R., Webster R., Wei J., Wibowo D., Wingenbach T. S. H., Xavier R. M., Xiao S., Xiong P., Xu S., Yao R., Yao W., Yin Q., Zaitsu M., Zeineb Z., Zhan X. -Y., Zhang R., Zhang W., Zheng S., Zhou B., Ahmad H., Akinwumi S. A., Albery G. F., Alhowimel A., Ali J., Alshehri M., Alsuhaibani M., Anikin A., Azubuike S. O., Bach-Mortensen A., Baltiansky L., Bartas M., Belachew K. Y., Bhardwaj V., Binder K., Bland N. S., Boah M., Bullen B., Calabro G. E., Callahan T. J., Cao B., Chalmers K., Chang W., Che Z., Chen A. T. Y., Chen Z., Choi Y., Chowdhury M. A. K., Christensen M. R., Cooke R. S. C., Cottini M., Covington N. V., Cunningham C., Delarocque J., Devos L., Dhar A. R., Ding K. -F., Dong K., Dong Z., Dreyer N., Ekstrand C., Fardet T., Feleke B. E., Feurer T., Freitas A., Gao T., Giganti F., Grabowski P., Guerra-Mora J. R., Guo C., Guo X., Gupta H., He S., Heijne M., Heinemann S., Hogrebe A., Huang Z., Iskander-Rizk S., Iyer L. M., Jahan Y., James A. S., Joel E., Joffroy B., Jegousse C., Kambondo G., Karnati P., Kaya C., Ke A., Kelly D., Kickert R., Kidibule P. E., Kieselmann J. P., Kim H. J., Kitazawa T., Lamberts A., Liang H., Linn S. N., Litfin T., Liusuo W., Lygirou V., Mahato A. K., Mai Z. -M., Major R. W., Mali S., Mallis P., Mao W., Marvin-Dowle K., Mason L. D., Merideth B., Merino-Plaza M. J., Merlaen B., Messina R., Mishra A. K., Muhammad J., Musinguzi C., Nanou A., Naqash A., Nguyen J. T., Nguyen T. T. H., Ni D., Notcovich S., Ohst B., Ollivier Q. R., Osses D. F., Peng X., Plantinga A., Pulia M., Rafiq M., Raman A., Rawski R., Ray A., Razak L. A., Rudolf K., Rusch P., Sadoine M. L., Schmidt A., Schurr R., Searles S., Sharma S., Sheehan B., Shi C., Shohayeb B., Sommerlad A., Strehlow J., Sun X., Sundar R., Taherzadeh G., Tahir N. D. M., Tang J., Testa J., Tian Z., Tingting Q., Verheijen G. P., Vickstrom C., Wang T., Wang X., Wang Z., Wei P., Wilson A., Yassine A. -A., Yousefzadeh A., Zare A., Zeng Z., Zhang H., Zhou J., Zhu D., Adamo V., Adeyemo A. A., Aggelidou M., Al-Owaifeer A. M., Al-Riyami A. Z., Alzghari S. K., Andersen V., Angus K., Asaduzzaman M., Asady H., Ato D., Bai X., Baines R. L., Ballantyne M., Ban B., Beck J., Ben-Nafa W., Black E., Blancher A., Blankstein R., Bodagh N., Borges P., Brooks A., Brox-Ponce J., Brunetti A., Canham C. D., Carninci P., Carvajal R., Chang S. C., Chao J., Chatterjee P., Chen L., Chhatriwalla A. K., Chikowe I., Chuang T. -J., Collevatti R. G., Cornejo D. A. V., Cuenda A., Dao M., Dauga D., Deng Z., Devkota K., Doan L. V., Elewa Y. H. A., Fan D., Faruk M., Feifei S., Ferguson T. S., Fleres F., Foster E. J., Foster S., Furer T., Gao Y., Garcia-Rivera E. J., Gazdar A., George R. B., Ghosh S., Gianchecchi E., Gleason J. M., Hackshaw A., Hall A., Hall R., Harper P., Hogg W. E., Huang G., Hunter K. E., Ijzerman A. P., Jesus C., Jian G., Lewis J. S., Kanj S. S., Kaur H., Kheir F., Kichatova V. S., Kiyani M., Klein R., Kovesi T., Kraschnewski J. L., Kumar A. P., Labutin D., Lazo-Langner A., Leclercq G., Li M., Li Q., Li T., Liao W. -T., Liao Z. -Y., Lin J., Lizer J., Lobreglio G., Lowies C., Lu C., Majeed H., Martin A., Martinez-Sobrido L., Meresh E., Middelveen M., Mohebbi A., Mota J., Mozaheb Z., Muyaya L., Nandhakumar A., Ng S. H. X., Obeidat M., Oh D. -H., Owais M., Pace-Asciak P., Panwar A., Patterson C., Penagos-Tabaree F., Pianosi P. T., Pinzi V., Pridans C., Psaroulaki A., Pujala R. K., Pulido-Arjona L., Qi P. -F., Rahman P., Rai N. K., Rassaf T., Refardt J., Ricciardi W., Riess O., Rovas A., Sacks F. M., Saleh S., Sampson C., Schmutz A., Sepanski R., Sharma N., Spearman P., Subramaniapillai M., Swali R., Tan C. M., Tellechea J. I., Thomas L. -M., Tong X., Vavvas D. G., Veys R., Vitriol V., Wang H. -D., Waugh J., Webb S. A., Williams B. A., Workman A. D., Xiang T., Xie L. -X., Xu T., Yang C., Yoon J. G., Yuan C. M., Zaritsky A., Zhao H., Zuckerman H., Lyu R., and Pullan W.
- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.
- Published
- 2019
28. Evaluación del estado de salud bucodental en preescolares: estudio epidemiológico longitudinal (1993-1994), Córdoba, Argentina Oral health condition evaluation of kindergarten children: longitudinal epidemiologic study (1993-1994), Córdoba, Argentina
- Author
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Luis José Battellino, Lila Susana Cornejo, Susana Tereza Dorronsoro de Cattoni, Elba Rosa Luna Maldonado de Yankilevich, Silvia Edith Calamari, Ana Isabel Azcura, and Carolina Virga
- Subjects
Encuestas de salud bucal ,Caries dental ,epidemiología ,Índice CPO ,Dental health surveys ,Dental caries ,epidemiology ,DMF index ,Public aspects of medicine ,RA1-1270 - Abstract
Se realizó un estudio longitudinal de un año de duración en una muestra (n = 820) de la población preescolar de 4 años de la Ciudad de Córdoba, Argentina, para establecer la participación de diversas variables en la incidencia de caries. Los índices ceo-d, ceo-s, de higiene oral y de salud bucodental, como también las tasas de incidencia y los riesgos relativos de caries estuvieron inversamente relacionados con el Nivel Económicosocial (NES) de los niños. En los preescolares del NES III (proletariado típico, proletariado no típico y subproletariado), el riesgo relativo de experimentar caries fue casi cinco veces mayor (RR = 4,9) que en el NES I (burguesías empresarial y gerencial). En el NES I, la mayoría de las nuevas lesiones se localizaron en las superficies lisas (61,2%), mientras que en el NES III afectaron predominantemente las superficies oclusales de los molares (66,3%). El consumo diario de azúcares fue mayor en los niños del NES III, pero la experiencia de caries se correlacionó débilmente con la cantidad o frecuencia de ingesta de estos carbohidratos (r = 0,40 y 0,52, respectivamente). No se registraron diferencias significativas interniveles en los parámetros bioquímicos salivales analizados. El cepillado dental asistido y las aplicaciones tópicas fluoruradas disminuyeron fuertemente la incidencia de caries en los niños del NES III, reduciendo las correspondientes tasas a valores muy próximos a los del NES I (0,31, 0,23 y 0,22 vs. 0,21). Se concluye que los niños del NES III, por su susceptibilidad a la caries, deberían ser asistidos precozmente con medidas preventivas eficaces, como lo son el cepillado dental asistido y las aplicaciones tópicas fluoruradas.A one-year longitudinal survey was carried out on a sample of the Cordoba City 4-year old kindergarten population (n = 820); so as to determine the role of several variables upon the incidence of caries. The dmf-t, dmf-s, oral hygiene and oral health indexes as well as incidence rates and caries relative risks of caries were inversely related to the socioeconomic level (SEL) of the children involved. Thus in the SEL III (typical proletariat, non-typical proletariat and sub-proletariat) children, the relative risk of caries was almost five times higher (RR = 4.9) than in the SEL I (entrepreneureal and managerial bourgeoisie) childreen. In SEL I, almost all new lesions occurred on smooth surfaces (61.2%), while in SEL III the molar occlusal faces were mainly affected (66.3%). Daily sugar intake was higher in SEL III children but experience of caries showed poor correlation to the amount (r = 0.40) and frequency (r = 0.52) of carbohydrate intake. No significant interlevel differences were observed in the biochemical salivary parameters analyzed. Assisted toothbrushing and fluoride topications strongly lowered the incidence of caries among SEL III children, also making the corresponding rates fall almost to SEL I values (0.31, 0.23 and 0.22 vs. 0.21). In conclusion, SEL III children should be trated prophylactically with effective preventive measures, because of their susceptibility to caries. Such preventive measures include assisted toothbrushing and fluoride topications.
- Published
- 1997
- Full Text
- View/download PDF
29. Evaluación del estado de salud bucodental en preescolares: estudio epidemiológico longitudinal (1993-1994), Córdoba, Argentina
- Author
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Battellino Luis José, Cornejo Lila Susana, Dorronsoro de Cattoni Susana Tereza, Luna Maldonado de Yankilevich Elba Rosa, Calamari Silvia Edith, Azcura Ana Isabel, and Virga Carolina
- Subjects
Encuestas de salud bucal ,Caries dental ,epidemiología ,Índice CPO ,Public aspects of medicine ,RA1-1270 - Abstract
Se realizó un estudio longitudinal de un año de duración en una muestra (n = 820) de la población preescolar de 4 años de la Ciudad de Córdoba, Argentina, para establecer la participación de diversas variables en la incidencia de caries. Los índices ceo-d, ceo-s, de higiene oral y de salud bucodental, como también las tasas de incidencia y los riesgos relativos de caries estuvieron inversamente relacionados con el Nivel Económicosocial (NES) de los niños. En los preescolares del NES III (proletariado típico, proletariado no típico y subproletariado), el riesgo relativo de experimentar caries fue casi cinco veces mayor (RR = 4,9) que en el NES I (burguesías empresarial y gerencial). En el NES I, la mayoría de las nuevas lesiones se localizaron en las superficies lisas (61,2%), mientras que en el NES III afectaron predominantemente las superficies oclusales de los molares (66,3%). El consumo diario de azúcares fue mayor en los niños del NES III, pero la experiencia de caries se correlacionó débilmente con la cantidad o frecuencia de ingesta de estos carbohidratos (r = 0,40 y 0,52, respectivamente). No se registraron diferencias significativas interniveles en los parámetros bioquímicos salivales analizados. El cepillado dental asistido y las aplicaciones tópicas fluoruradas disminuyeron fuertemente la incidencia de caries en los niños del NES III, reduciendo las correspondientes tasas a valores muy próximos a los del NES I (0,31, 0,23 y 0,22 vs. 0,21). Se concluye que los niños del NES III, por su susceptibilidad a la caries, deberían ser asistidos precozmente con medidas preventivas eficaces, como lo son el cepillado dental asistido y las aplicaciones tópicas fluoruradas.
- Published
- 1997
30. Evaluating HapMap SNP data transferability in a large-scale genotyping project involving 175 cancer-associated genes
- Author
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Ribas, Gloria, González-Neira, Anna, Salas, Antonio, Milne, Roger L., Vega, Ana, Carracedo, Begoña, González, Emilio, Barroso, Eva, Fernández, Lara P., Yankilevich, Patricio, Robledo, Mercedes, Carracedo, Ángel, and Benítez, Javier
- Published
- 2006
- Full Text
- View/download PDF
31. Distribución de la caries dental en niños preescolares en una región urbana, Argentina, 1992
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Elba Rosa Luna Maldonado de Yankilevich, Susana Tereza Dorronsoro de Cattoni, Lila Susana Cornejo, and Luis José Battellino
- Subjects
Caries dental ,Encuestas de salud bucal ,Índice CPO ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de una investigación desarollada sobre una muestra de 1.115 preescolares (5 años) de jardines de infantes de la Ciudad de Córdoba (Argentina), destinada a establecer la prevalencia y distribución de la caries dental conforme a su nivel económicosocial. El estudio reveló que, respecto a 1973, la prevalencia de caries disminuyó el 55,0%, en tanto que la proporción de niños con dientes sanos fue mayor en el 26,7%. La frecuencia y severidad de la caries aumentó a medida que descendía la ubicación social del niño. En el nivel económicosocial más alto (NES I = burguesías empresarial y gerencial), los índices de caries fueron significativamente menores que en el nivel económicosocial más bajo (NES III = proletariado típico, proletariado no típico y subproletariado): ceo-d de 0,8 y 2,7 y ceo-s de 0,9 y 4,9, respectivamente. En el NES III, los principales componentes del ceo-d fueron dientes cariados y con extracción indicada, mientras que en el NES I fueron los dientes obturados. La proporción de niños sin experiencia de caries fue del 63,1% en el NES I y del 11,5% en el NES III. Inversamente, el índice de salud bucal resultó más alto en el NES I (8,8) que en el NES III (5,1). El gasto demandado por niño para el tratamiento restaurativo es aproximadamente dos veces y media más alto en el NES III que en el NES I. Considerando toda la muestra, el gasto en el NES III resultaría más de diez veces superior al del NES I. Se concluye que la programación de la atención odontológica privilegiando a los niños del NES III, que son los de mayor riesgo de enfermar, puede contribuir a contrarrestar los desniveles en el estado de salud bucal.
- Published
- 1993
- Full Text
- View/download PDF
32. Distribución de la caries dental en niños preescolares en una región urbana, Argentina, 1992
- Author
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Yankilevich Elba Rosa Luna Maldonado de, Dorronsoro de Cattoni Susana Tereza, Cornejo Lila Susana, and Battellino Luis José
- Subjects
Caries dental/epidemiología ,Encuestas de salud bucal ,Índice CPO ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de una investigación desarollada sobre una muestra de 1.115 preescolares (5 años) de jardines de infantes de la Ciudad de Córdoba (Argentina), destinada a establecer la prevalencia y distribución de la caries dental conforme a su nivel económicosocial. El estudio reveló que, respecto a 1973, la prevalencia de caries disminuyó el 55,0%, en tanto que la proporción de niños con dientes sanos fue mayor en el 26,7%. La frecuencia y severidad de la caries aumentó a medida que descendía la ubicación social del niño. En el nivel económicosocial más alto (NES I = burguesías empresarial y gerencial), los índices de caries fueron significativamente menores que en el nivel económicosocial más bajo (NES III = proletariado típico, proletariado no típico y subproletariado): ceo-d de 0,8 y 2,7 y ceo-s de 0,9 y 4,9, respectivamente. En el NES III, los principales componentes del ceo-d fueron dientes cariados y con extracción indicada, mientras que en el NES I fueron los dientes obturados. La proporción de niños sin experiencia de caries fue del 63,1% en el NES I y del 11,5% en el NES III. Inversamente, el índice de salud bucal resultó más alto en el NES I (8,8) que en el NES III (5,1). El gasto demandado por niño para el tratamiento restaurativo es aproximadamente dos veces y media más alto en el NES III que en el NES I. Considerando toda la muestra, el gasto en el NES III resultaría más de diez veces superior al del NES I. Se concluye que la programación de la atención odontológica privilegiando a los niños del NES III, que son los de mayor riesgo de enfermar, puede contribuir a contrarrestar los desniveles en el estado de salud bucal.
- Published
- 1993
33. Prevalencia de la caries dental en escolares de nivel primario de una región metropolitana de la Provincia de Córdoba, Argentina Prevalência da cárie dental em escolares de uma região metropolitana da Província de Córdoba, Argentina Prevalence of dental caries in schoolchildren in a metropolitan region of the Córdoba Province, Argentina
- Author
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Elba Rosa Luna Maldonado de Yankilevich and Luis José Battellino
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Caries dental ,Indice CPO ,Encuestas de salud bucal ,Cárie dentária ,Índice CPO ,Levantamentos de saúde bucal ,Dental caries ,DMF Index ,Dental health surveys ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de un estudio epidemiológico del estado de la salud bucal en escolares de nivel primario (6 y 12 años) matriculados en establecimientos municipales, provinciales y privados de la Ciudad de Córdoba, Provincia de Córdoba, Argentina. En los niños de 6 años de escuelas municipales, la prevalencia de caries en elementos temporarios fue de moderada a alta, resultando baja para los escolares provinciales y privados (ceo-d = 4,44 , 2,31 y 1,27, respectivamente). Tanto en escolares municipales como provinciales, los componentes de mayor peso en el ceo-d fueron dientes cariados y con extracción indicada, en tanto que en los privados correspondió a dientes obturados. La proporción de niños sin caries activa fue de 13,6% en las escuelas municipales, 52,2% en las provinciales y 76,9% en las privadas. En los escolares de 12 años, la prevalencia de caries en dentición permanente resultó baja y comparable en los tres grupos de escuelas, registrándose un índice CPO-D que osciló entre 1,85 (municipales) y 2,59 (privados). Para ambas edades, las necesidades de tratamiento odontológico fueron elevadas en las tres poblaciones escolares. Se concluye que los niveles de salud dental alcanzados por los escolares municipales y provinciales a la edad de 12 años deben atribuirse principalmente al impacto producido por la aplicación de medidas preventivas, cuya eficiencia podría ser aumentada si se orientaran a atender edades más tempranas, sobre todo en las poblaciones de mayor riesgo.Descrevem-se os resultados de um estudo epidemiológico do estado de saúde bucal em escolares de nível primário (6 e 12 anos) matriculados em estabelecimentos municipais, estaduais e privados da Cidade de Córdoba, Província de Córdoba, Argentina. Nas crianças de 6 anos de escolas municipais, a prevalência de cáries em dentes temporários foi de moderada a alta, resultando baixa para os escolares de estabelecimentos estaduais e privados (ceo-d = 4,44; 2,31 e 1,27, respectivamente). Tanto em escolares municipais como estaduais, os componentes de maior peso no ceo-d foram dentes cariados e com extração indicada, enquanto que nos privados correspondeu a dentes obturados. A proporção de crianças sem cárie activa foi de 13,6% nas escolas municipais, 52,2% nas estaduais e 76,9% nas privadas. Nas crianças de 12 anos, a prevalência de cáries em dentes permanentes resultou baixa e comparável nos três grupos de escolares, registrando-se um índice CPO-D que oscilou entre 1,85 (municipais) e 2,59 (privados). Para ambas as idades, as necessidades de tratamento odontológico foram elevadas nas três populações de escolares. Conclui-se que os níveis de saúde bucal atingidos pelos escolares municipais e estaduais na idade de 12 anos devem atribuir-se principalmente ao impacto produzido pela aplicação de medidas preventivas, cuja eficiência poderia se aumentada se fossem orientadas a atender idades menores, sobretudo nas populações de maior risco.The results of a dental health epidemiologic study in primary school-children (aged 6-12) attending both public (municipal and provincial) and private schools in the city of Cordoba are described. The incidence of deciduous teeth caries was from moderate to high among the 6-year-old school-children from municipal schools but it was low in the provincial and private schools (dmf-t = 4.44, 2.31 and 1.27 respectively). Among both provincial and municipal school-children the most significant component corresponded to teeth with caries and diagnosed extraction, whereas in private school-children it corresponded to filled teeth. The absence of active caries in children was 13.6% in municipal schools, 52.2% in provincial schools and 76.9% in private schools. In 12-year-old school-children, the prevalence of caries in permanent teeth was at the same low level in all schools with a DMF-T ranging from 1.85 (municipal) to 2.59 (private). In general, the need for dental treatment was considerable in all schools. It is concluded that the dental health levels achieved by municipal and provincial schools at the age of 12 must be attributed mainly to preventive measures; should children be assisted eralier, the results would be enhanced.
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- 1992
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34. Prevalencia de la caries dental en escolares de nivel primario de una región metropolitana de la Provincia de Córdoba, Argentina
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Yankilevich Elba Rosa Luna Maldonado de and Battellino Luis José
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Caries dental/epidemiología ,Indice CPO ,Encuestas de salud bucal ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de un estudio epidemiológico del estado de la salud bucal en escolares de nivel primario (6 y 12 años) matriculados en establecimientos municipales, provinciales y privados de la Ciudad de Córdoba, Provincia de Córdoba, Argentina. En los niños de 6 años de escuelas municipales, la prevalencia de caries en elementos temporarios fue de moderada a alta, resultando baja para los escolares provinciales y privados (ceo-d = 4,44 , 2,31 y 1,27, respectivamente). Tanto en escolares municipales como provinciales, los componentes de mayor peso en el ceo-d fueron dientes cariados y con extracción indicada, en tanto que en los privados correspondió a dientes obturados. La proporción de niños sin caries activa fue de 13,6% en las escuelas municipales, 52,2% en las provinciales y 76,9% en las privadas. En los escolares de 12 años, la prevalencia de caries en dentición permanente resultó baja y comparable en los tres grupos de escuelas, registrándose un índice CPO-D que osciló entre 1,85 (municipales) y 2,59 (privados). Para ambas edades, las necesidades de tratamiento odontológico fueron elevadas en las tres poblaciones escolares. Se concluye que los niveles de salud dental alcanzados por los escolares municipales y provinciales a la edad de 12 años deben atribuirse principalmente al impacto producido por la aplicación de medidas preventivas, cuya eficiencia podría ser aumentada si se orientaran a atender edades más tempranas, sobre todo en las poblaciones de mayor riesgo.
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- 1992
35. Effect of Destruction of the Suprachiasmic Hypothalamic Nuclei on Autosensitization in the Organism of Rats
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Kazakov, V. N., Raksha-Slyusareva, E. A., Slyusarev, A. A., Kravtsov, P. Ya., Nikolenko, Yu. I., Kustov, D. Yu., Konoplyanko, V. A., and Yankilevich, V. I.
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- 2003
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36. Asterias: A Parallelized Web-based Suite for the Analysis of Expression and aCGH Data
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Andreu Alibés, Edward R. Morrissey, Andrés Cañada, Oscar M. Rueda, David Casado, Patricio Yankilevich, and Ramón Díaz-Uriarte
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
The analysis of expression and CGH arrays plays a central role in the study of complex diseases, especially cancer, including finding markers for early diagnosis and prognosis, choosing an optimal therapy, or increasing our understanding of cancer development and metastasis. Asterias ( http://www.asterias.info ) is an integrated collection of freely-accessible web tools for the analysis of gene expression and aCGH data. Most of the tools use parallel computing (via MPI) and run on a server with 60 CPUs for computation; compared to a desktop or server-based but not parallelized application, parallelization provides speed ups of factors up to 50. Most of our applications allow the user to obtain additional information for user-selected genes (chromosomal location, PubMed ids, Gene Ontology terms, etc.) by using clickable links in tables and/or figures. Our tools include: normalization of expression and aCGH data (DNMAD); converting between different types of gene/clone and protein identifiers (IDconverter/IDClight); filtering and imputation (preP); finding differentially expressed genes related to patient class and survival data (Pomelo II); searching for models of class prediction (Tnasas); using random forests to search for minimal models for class prediction or for large subsets of genes with predictive capacity (GeneSrF); searching for molecular signatures and predictive genes with survival data (SignS); detecting regions of genomic DNA gain or loss (ADaCGH). The capability to send results between different applications, access to additional functional information, and parallelized computation make our suite unique and exploit features only available to web-based applications.
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- 2007
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37. RETRACTED ARTICLE: Progesterone receptor assembly of a transcriptional complex along with activator protein 1, signal transducer and activator of transcription 3 and ErbB-2 governs breast cancer growth and predicts response to endocrine therapy
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Díaz Flaqué, María C, Galigniana, Natalia M, Béguelin, Wendy, Vicario, Rocío, Proietti, Cecilia J, Russo, Rosalía Cordo, Rivas, Martín A, Tkach, Mercedes, Guzmán, Pablo, Roa, Juan C, Maronna, Esteban, Pineda, Viviana, Muñoz, Sergio, Mercogliano, María Florencia, Charreau, Eduardo H, Yankilevich, Patricio, Schillaci, Roxana, and Elizalde, Patricia V
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- 2013
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38. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
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Brown, P. Zhou, Y. Tan, A.-C. El-Esawi, M.A. Liehr, T. Blanck, O. Gladue, D.P. Almeida, G.M.F. Cernava, T. Sorzano, C.O. Yeung, A.W.K. Engel, M.S. Chandrasekaran, A.R. Muth, T. Staege, M.S. Daulatabad, S.V. Widera, D. Zhang, J. Meule, A. Honjo, K. Pourret, O. Yin, C.-C. Zhang, Z. Cascella, M. Flegel, W.A. Goodyear, C.S. van Raaij, M.J. Bukowy-Bieryllo, Z. Campana, L.G. Kurniawan, N.A. Lalaouna, D. Hüttner, F.J. Ammerman, B.A. Ehret, F. Cobine, P.A. Tan, E.-C. Han, H. Xia, W. McCrum, C. Dings, R.P.M. Marinello, F. Nilsson, H. Nixon, B. Voskarides, K. Yang, L. Costa, V.D. Bengtsson-Palme, J. Bradshaw, W. Grimm, D.G. Kumar, N. Martis, E. Prieto, D. Sabnis, S.C. Amer, S.E.D.R. Liew, A.W.C. Perco, P. Rahimi, F. Riva, G. Zhang, C. Devkota, H.P. Ogami, K. Basharat, Z. Fierz, W. Siebers, R. Tan, K.H. Boehme, K.A. Brenneisen, P. Brown, J.A.L. Dalrymple, B.P. Harvey, D.J. Ng, G. Werten, S. Bleackley, M. Dai, Z. Dhariwal, R. Gelfer, Y. Hartmann, M.D. Miotla, P. Tamaian, R. Govender, P. Gurney-Champion, O.J. Kauppila, J.H. Zhang, X. Echeverría, N. Subhash, S. Sallmon, H. Tofani, M. Bae, T. Bosch, O. Cuív, P.O. Danchin, A. Diouf, B. Eerola, T. Evangelou, E. Filipp, F. Klump, H. Kurgan, L. Smith, S.S. Terrier, O. Tuttle, N. Ascher, D.B. Janga, S.C. Schulte, L.N. Becker, D. Browngardt, C. Bush, S.J. Gaullier, G. Ide, K. Meseko, C. Werner, G.D.A. Zaucha, J. Al-Farha, A.A. Greenwald, N.F. Popoola, S.I. Rahman, S. Xu, J. Yang, S.Y. Hiroi, N. Alper, O.M. Baker, C.I. Bitzer, M. Chacko, G. Debrabant, B. Dixon, R. Forano, E. Gilliham, M. Kelly, S. Klempnauer, K.-H. Lidbury, B.A. Lin, M.Z. Lynch, I. Ma, W. Maibach, E.W. Mather, D.E. Nandakumar, K.S. Ohgami, R.S. Parchi, P. Tressoldi, P. Xue, Y. Armitage, C. Barraud, P. Chatzitheochari, S. Coelho, L.P. Diao, J. Doxey, A.C. Gobet, A. Hu, P. Kaiser, S. Mitchell, K.M. Salama, M.F. Shabalin, I.G. Song, H. Stevanovic, D. Yadollahpour, A. Zeng, E. Zinke, K. Alimba, C.G. Beyene, T.J. Cao, Z. Chan, S.S. Gatchell, M. Kleppe, A. Piotrowski, M. Torga, G. Woldesemayat, A.A. Cosacak, M.I. Haston, S. Ross, S.A. Williams, R. Wong, A. Abramowitz, M.K. Effiong, A. Lee, S. Abid, M.B. Agarabi, C. Alaux, C. Albrecht, D.R. Atkins, G.J. Beck, C.R. Bonvin, A.M.J.J. Bourke, E. Brand, T. Braun, R.J. Bull, J.A. Cardoso, P. Carter, D. Delahay, R.M. Ducommun, B. Duijf, P.H.G. Epp, T. Eskelinen, E.-L. Fallah, M. Farber, D.B. Fernandez-Triana, J. Feyerabend, F. Florio, T. Friebe, M. Furuta, S. Gabrielsen, M. Gruber, J. Grybos, M. Han, Q. Heinrich, M. Helanterä, H. Huber, M. Jeltsch, A. Jiang, F. Josse, C. Jurman, G. Kamiya, H. de Keersmaecker, K. Kristiansson, E. de Leeuw, F.-E. Li, J. Liang, S. Lopez-Escamez, J.A. Lopez-Ruiz, F.J. Marchbank, K.J. Marschalek, R. Martín, C.S. Miele, A.E. Montagutelli, X. Morcillo, E. Nicoletti, R. Niehof, M. O'Toole, R. Ohtomo, T. Oster, H. Palma, J.-A. Paterson, R. Peifer, M. Portilla, M. Portillo, M.C. Pritchard, A.L. Pusch, S. Raghava, G.P.S. Roberts, N.J. Ross, K. Schuele, B. Sergeant, K. Shen, J. Stella, A. Sukocheva, O. Uversky, V.N. Vanneste, S. Villet, M.H. Viveiros, M. Vorholt, J.A. Weinstock, C. Yamato, M. Zabetakis, I. Zhao, X. Ziegler, A. Aizat, W.M. Atlas, L. Bridges, K.M. Chakraborty, S. Deschodt, M. Domingues, H.S. Esfahlani, S.S. Falk, S. Guisado, J.L. Kane, N.C. Kueberuwa, G. Lau, C.L. Liang, D. Liu, E. Luu, A.M. Ma, C. Ma, L. Moyer, R. Norris, A.D. Panthee, S. Parsons, J.R. Peng, Y. Pinto, I.M. Reschke, C.R. Sillanpää, E. Stewart, C.J. Uhle, F. Yang, H. Zhou, K. Zhu, S. Ashry, M. Bergsland, N. Berthold, M. Chen, C.-E. Colella, V. Cuypers, M. Eskew, E.A. Fan, X. Gajda, M. Gonzálezlez-Prendes, R. Goodin, A. Graham, E.B. Groen, E.J.N. Gutiérrez-Sacristán, A. Habes, M. Heffler, E. Higginbottom, D.B. Janzen, T. Jayaraman, J. Jibb, L.A. Jongen, S. Kinyanjui, T. Koleva-Kolarova, R.G. Li, Z. Liu, Y.-P. Lund, B.A. Lussier, A.A. Ma, L. Mier, P. Moore, M.D. Nagler, K. Orme, M.W. Pearson, J.A. Prajapati, A.S. Saito, Y. Tröder, S.E. Uchendu, F. Verloh, N. Voutchkova, D.D. Abu-Zaid, A. Bakkach, J. Baumert, P. Dono, M. Hanson, J. Herbelet, S. Hobbs, E. Kulkarni, A. Kumar, N. Liu, S. Loft, N.D. Reddan, T. Senghore, T. Vindin, H. Xu, H. Bannon, R. Chen, B. Cheung, J.T.K. Cooper, J. Esnakula, A.K. Feghali, K.A. Ghelardi, E. Gnasso, A. Horbar, J. Lai, H.M. Li, J. Ma, L. Ma, R. Pan, Z. Peres, M.A. Pranata, R. Seow, E. Sydes, M. Testoni, I. Westermair, A.L. Yang, Y. Afnan, M. Albiol, J. Albuquerque, L.G. Amir, S. Amiya, E. Amorim, R.M. An, Q. Andersen, S.U. Aplin, J.D. Argyropoulos, C. Asmann, Y.W. Assaeed, A.M. Atanasov, A.G. Atchison, D.A. Avery, S.V. Avillach, P. Baade, P.D. Backman, L. Badie, C. Baldi, A. Ball, E. Bardot, O. Barnett, A.G. Basner, M. Batra, J. Bazanova, O.M. Beale, A. Beddoe, T. Bell, M.L. Berezikov, E. Berners-Price, S. Bernhardt, P. Berry, E. Bessa, T.B. Billington, C. Birch, J. Blakely, R.D. Blaskovich, M.A.T. Blum, R. Boelaert, M. Bogdanos, D. Bosch, C. Bourgoin, T. Bouvard, D. Boykin, L.M. Bradley, G. Braun, D. Brownlie, J. Brühl, A. Burt, A. Butler, L.M. Byrareddy, S.N. Byrne, H.J. Cabantous, S. Calatayud, S. Candal, E. Carlson, K. Casillas, S. Castelvetro, V. Caswell, P.T. Cavalli, G. Cerovsky, V. Chagoyen, M. Chen, C.-S. Chen, D.F. Chen, H. Chen, H. Chen, J.-T. Chen, Y. Cheng, C. Cheng, J. Chinapaw, M. Chinopoulos, C. Cho, W.C.S. Chong, L. Chowdhury, D. Chwalibog, A. Ciresi, A. Cockcroft, S. Conesa, A. Cook, P.A. Cooper, D.N. Coqueret, O. Corea, E.M. Costa, A. Costa, E. Coupland, C. Crawford, S.Y. Cruz, A.D. Cui, H. Cui, Q. Culver, D.C. D'Angiulli, A. Dahms, T.E.S. Daigle, F. Dalgleish, R. Danielsen, H.E. Darras, S. Davidson, S.M. Day, D.A. Degirmenci, V. Demaison, L. Devriendt, K. Ding, J. Dogan, Y. Dong, X.C. Donner, C.F. Dressick, W. Drevon, C.A. Duan, H. Ducho, C. Dumaz, N. Dwarakanath, B.S. Ebell, M.H. Eisenhardt, S. Elkum, N. Engel, N. Erickson, T.B. Fairhead, M. Faville, M.J. Fejzo, M.S. Festa, F. Feteira, A. Flood-Page, P. Forsayeth, J. Fox, S.A. Franks, S.J. Frentiu, F.D. Frilander, M.J. Fu, X. Fujita, S. Galea, I. Galluzzi, L. Gani, F. Ganpule, A.P. García-Alix, A. Gedye, K. Giordano, M. Giunta, C. Gleeson, P.A. Goarant, C. Gong, H. Gora, D. Gough, M.J. Goyal, R. Graham, K.E. Grande-Pérez, A. Graves, P.M. Greidanus, H. Grice, D. Grunau, C. Gumulya, Y. Guo, Y. Gurevich, V.V. Gusev, O. Hacker, E. Hage, S.R. Hagen, G. Hahn, S. Haller, D.M. Hammerschmidt, S. Han, J. Han, R. Handfield, M. Hapuarachchi, H.C. Harder, T. Hardingham, J.E. Heck, M. Heers, M. Hew, K.F. Higuchi, Y. Hilaire, C.St. Hilton, R. Hodzic, E. Hone, A. Hongoh, Y. Hu, G. Huber, H.P. Hueso, L.E. Huirne, J. Hurt, L. Idborg, H. Ikeo, K. Ingley, E. Jakeman, P.M. Jensen, A. Jia, H. Jia, H. Jia, S. Jiang, J. Jiang, X. Jin, Y. Jo, D. Johnson, A.M. Johnston, M. Jonscher, K.R. Jorens, P.G. Jorgensen, J.O.L. Joubert, J.W. Jung, S.-H. Junior, A.M. Kahan, T. Kamboj, S.K. Kang, Y.-K. Karamanos, Y. Karp, N.A. Kelly, R. Kenna, R. Kennedy, J. Kersten, B. Khalaf, R.A. Khalid, J.M. Khatlani, T. Khider, T. Kijanka, G.S. King, S.R.B. Kluz, T. Knox, P. Kobayashi, T. Koch, K.-W. Kohonen-Corish, M.R.J. Kong, X. Konkle-Parker, D. Korpela, K.M. Kostrikis, L.G. Kraiczy, P. Kratz, H. Krause, G. Krebsbach, P.H. Kristensen, S.R. Kumari, P. Kunimatsu, A. Kurdak, H. Kwon, Y.D. Lachat, C. Lagisz, M. Laky, B. Lammerding, J. Lange, M. Larrosa, M. Laslett, A.L. Laverman, G.D. Leclair, E.E. Lee, K.-W. Lee, M.-Y. Lee, M.-S. Li, G. Li, J. Lieb, K. Lim, Y.Y. Lindsey, M.L. Line, P.-D. Liu, D. Liu, F. Liu, H. Liu, H. Lloyd, V.K. Lo, T.-W. Locci, E. Loidl, J. Lorenzen, J. Lorkowski, S. Lovell, N.H. Lu, H. Lu, W. Lu, Z. Luengo, G.S. Lundh, L.-G. Lysy, P.A. Mabb, A. Mack, H.G. Mackey, D.A. Mahdavi, S.R. Maher, P. Maher, T. Maity, S.N. Malgrange, B. Mamoulakis, C. Mangoni, A.A. Manke, T. Manstead, A.S.R. Mantalaris, A. Marsal, J. Marschall, H.-U. Martin, F.L. Martinez-Raga, J. Martinez-Salas, E. Mathieu, D. Matsui, Y. Maza, E. McCutcheon, J.E. McKay, G.J. McMillan, B. McMillan, N. Meads, C. Medina, L. Merrick, B.A. Metzger, D.W. Meunier, F.A. Michaelis, M. Micheau, O. Mihara, H. Mintz, E.M. Mizukami, T. Moalic, Y. Mohapatra, D.P. Monteiro, A. Montes, M. Moran, J.V. Morozov, S.Y. Mort, M. Murai, N. Murphy, D.J. Murphy, S.K. Murray, S.A. Naganawa, S. Nammi, S. Nasios, G. Natoli, R.M. Nguyen, F. Nicol, C. van Nieuwerburgh, F. Nilsen, E.B. Nobile, C.J. O'Mahony, M. Ohlsson, S. Olatunbosun, O. Olofsson, P. Ortiz, A. Ostrikov, K. Otto, S. Outeiro, T.F. Ouyang, S. Paganoni, S. Page, A. Palm, C. Paradies, Y. Parsons, M.H. Parsons, N. Pascal, P. Paul, E. Peckham, M. Pedemonte, N. Pellizzon, M.A. Petrelli, M. Pichugin, A. Pinto, C.J.C. Plevris, J.N. Pollesello, P. Polz, M. Ponti, G. Porcelli, P. Prince, M. Quinn, G.P. Quinn, T.J. Ramula, S. Rappsilber, J. Rehfeldt, F. Reiling, J.H. Remacle, C. Rezaei, M. Riddick, E.W. Ritter, U. Roach, N.W. Roberts, D.D. Robles, G. Rodrigues, T. Rodriguez, C. Roislien, J. Roobol, M.J. Rowe, A. Ruepp, A. van Ruitenbeek, J. Rust, P. Saad, S. Sack, G.H. Santos, M. Saudemont, A. Sava, G. Schrading, S. Schramm, A. Schreiber, M. Schuler, S. Schymkowitz, J. Sczyrba, A. Seib, K.L. Shi, H.-P. Shimada, T. Shin, J.-S. Shortt, C. Silveyra, P. Skinner, D. Small, I. Smeets, P.A.M. So, P.-W. Solano, F. Sonenshine, D.E. Song, J. Southall, T. Speakman, J.R. Srinivasan, M.V. Stabile, L.P. Stasiak, A. Steadman, K.J. Stein, N. Stephens, A.W. Stewart, D.I. Stine, K. Storlazzi, C. Stoynova, N.V. Strzalka, W. Suarez, O.M. Sultana, T. Sumant, A.V. Summers, M.J. Sun, G. Tacon, P. Tanaka, K. Tang, H. Tanino, Y. Targett-Adams, P. Tayebi, M. Tayyem, R. Tebbe, C.C. Telfer, E.E. Tempel, W. Teodorczyk-Injeyan, J.A. Thijs, G. Thorne, S. Thrift, A.G. Tiffon, C. Tinnefeld, P. Tjahjono, D.H. Tolle, F. Toth, E. Del Tredici, A.L. Tsapas, A. Tsirigotis, K. Turak, A. Tzotzos, G. Udo, E.E. Utsumi, T. Vaidyanathan, S. Vaillant, M. Valsesia, A. Vandenbroucke, R.E. Veiga, F.H. Vendrell, M. Vesk, P.A. Vickers, P. Victor, V.M. Villemur, R. Vohl, M.-C. Voolstra, C.R. Vuillemin, A. Wakelin, S. Waldron, L. Walsh, L.J. Wang, A.Y. Wang, F. Wang, Y. Watanabe, Y. Weigert, A. Wen, J.-C. Wham, C. White, E.P. Wiener, J. Wilharm, G. Wilkinson, S. Willmann, R. Wilson, C. Wirth, B. Wojan, T.R. Wolff, M. Wong, B.M. Wu, T.-W. Wuerbel, H. Xiao, X. Xu, D. Xu, J.W. Xu, J. Xue, B. Yalcin, S. Yan, H. Yang, E.-C. Yang, S. Yang, W. Ye, Y. Ye, Z.-Q. Yli-Kauhaluoma, J. Yoneyama, H. Yu, Y. Yuan, G.-C. Yuh, C.-H. Zaccolo, M. Zeng, C. Zevnik, B. Zhang, C. Zhang, L. Zhang, Y. Zhang, Y. Zhang, Z. Zhang, Z.-Y. Zhao, Y. Zhou, M. Zuberbier, T. Aanei, C.M. Ahmad, R. Al-Lawama, M. Alanio, A. Allardyce, J. Alonso-Caneiro, D. Atack, J.M. Baier, D. Bansal, A. Benezeth, Y. Berbesque, C. Berrevoet, F. Biedermann, P.H.W. Bijleveld, E. Bittner, F. Blombach, F. van den Bos, W. Boudreau, S.A. Bramoweth, A.D. Braubach, O. Cai, Y. Campbell, M. Cao, Z. Catry, T. Chen, X. Cheng, S. Chung, H.-J. Chávez-Fumagalli, M.A. Conway, A. Costa, B.M. Cyr, N. Dean, L.T. Denzel, M.S. Dlamini, S.V. Dudley, K.J. Dufies, M. Ecke, T. Eckweiler, D. Eixarch, E. El-Adawy, H. Emmrich, J.V. Eustace, A.J. Falter-Wagner, C.M. Farhoudi, R. Fuss, J. Gao, J. Gill, M.R. Gloyn, L. Goggs, R. Govinden, U. Greene, G. Greiff, V. Grundle, D.S. Grüneberg, P. Gumede, N. Haore, G. Harrison, P. Hoenner, X. Hojsgaard, D. Hori, H. Ikonomopoulou, M.P. Jeurissen, P. Johnson, D.M. Kabra, D. Kamagata, K. Karmakar, C. Kasian, O. Kaye, L.K. Khan, M.M. Kim, Y.-M. Kish, J.K. Kobold, S. Kohanbash, G. Kohls, G. Kugler, J.-M. Kumar, G. Lacy-Colson, J. Latif, A. Lauschke, V.M. Li, B. Lim, C.J. Liu, F. Liu, X. Lu, J.-J. Lu, Q. Mahavadi, P. Marzocchi, U. McGarrigle, C.A. van Meerten, T. Min, R. Moal, I. Molari, M. Molleman, L. Mondal, S.R. van de Mortel, T. Moss, W.N. Moultos, O.A. Mukherjee, M. Nakayama, K. Narayan, E. Navaratnarajah Neumann, P.-A. Nie, J. Nie, Y. Niemeyer, F. Nolan, F. Nwaiwu, O. Oldenmenger, W.H. Olumayede, E. Ou, J. Pallebage-Gamarallage, M. Pearce, S.P. Pelkonen, T. Pelleri, M.C. Pereira, J.L. Pheko, M. Pinto, K.A. Piovesan, A. Pluess, M. Podolsky, I.M. Prescott, J. Qi, D. Qi, X. Raikou, V.D. Ranft, A. Rhodes, J. Rotge, J.-Y. Rowe, A.D. Saggar, M. Schuon, R.A. Shahid, S. Shalchyan, V. Shirvalkar, P. Shiryayev, O. Singh, J. Smout, M.J. Soares, A. Song, C. Srivastava, K. Srivastava, R.K. Sun, J. Szabo, A. Szymanski, W. Tai, C.N.P. Takeuchi, H. Tanadini-Lang, S. Tang, F. Tao, W. Theron, G. Tian, C.F. Tian, Y.-S. Tuttle, L.M. Valenti, A. Verlot, P. Walker, M. Wang, J. Welter, D. Winslade, M. Wu, D. Wu, Y.-R. Xiao, H. Xu, B. Xu, J. Xu, Z. Yang, D. Yang, M. Yankilevich, P. You, Y. Yu, C. Zhan, J. Zhang, G. Zhang, K. Zhang, T. Zhang, Y. Zhao, G. Zhao, J. Zhou, X. Zhu, Z. Ajani, P.A. Anazodo, U.C. Bagloee, S.A. Bail, K. Bar, I. Bathelt, J. Benkeser, D. Bernier, M.L. Blanchard, A.M. Boakye, D.W. Bonatsos, V. Boon, M.H. Bouboulis, G. Bromfield, E. Brown, J. Bul, K.C.M. Burton, K.J. Butkowski, E.G. Carroll, G. Chao, F. Charrier, E.E. Chen, X. Chen, Y.-C. Chenguang Choi, J.R. Christoffersen, T. Comel, J.C. Cosse, C. Cui, Y. van Dessel, P. Dhaval Diodato, D. Duffey, M. Dutt, A. Egea, L.G. El-Said, M. Faye, M. Fernandez-Fernandez, B. Foley, K.G. Founou, L.L. Fu, F. Gadelkareem, R.A. Galimov, E. Garip, G. Gemmill, A. Gouil, Q. Grey, J. Gridneva, Z. Grothe, M.J. Grébert, T. Guerrero, F. Guignard, L. Haenssgen, M.J. Hasler, D. Holgate, J.Y. Huang, A. Hulse-Kemp, A.M. Jean-Quartier, C. Jeon, S.-M. Jia, Y. Jutzeler, C. Kalatzis, P. Karim, M. Karsay, K. Keitel, A. Kempe, A. Keown, J.R. Khoo, C.M. Khwaja, N. Kievit, R.A. Kosanic, S. Koutoukidis, D.A. Kramer, P. Kumar, D. Kiraǧ, N. Lanza, G. Le, T.D. Leem, J.W. Leightley, D. Leite, A. Lercher, L. Li, Y. Lim, R. Lima, L.R.A. Lin, L. Ling, T. Liu, Y. Liu, Z. Lu, Y. Lum, F.M. Luo, H. Machhi, J. Macleod, A. Macwan, I. Madala, H.R. Madani, N. de Maio, N. Makowiecki, K. Mallinson, D.J. Margelyte, R. Maria, C. Markonis, Y. Marsili, L. Mavoa, S. McWilliams, L. Megersa, M. Souto-Maior, C. Menichetti, J. Mercieca-Bebber, R. Miller, J.J. Minde, D.-P.M. Minges, A. Mishra, E. Mishra, V.R. Moores, C. Morrice, N. Moskalensky, A.E. Navarin, N. Negera, E. Nolet, P. Nordberg, A. Nordén, R. Nowicki, J.P. Olova, N. Olszewski, P. Onzima, R. Pan, C.-L. Park, C. Park, D.I. Park, S. Patil, C.D. Pedro, S.A. Perry, S.R. Peter, J. Peterson, B.M. Pezzuolo, A. Pozdnyakov, I. Qian, S. Qin, L. Rafe, A. Raote, I. Raza, A. Rebl, H. Refai, O. Regan, T. Richa, T. Richardson, M.F. Robinson, K.R. Rossoni, L. Rouet, R. Safaei, S. Schneeberger, P.H.H. Schwotzer, D. Sebastian, A. Selinski, J. Seltmann, S. Sha, F. Shalev, N. Shang, J.-L. Singer, J. Singh, M. Smith, T. Solomon-Moore, E. Song, L. Soraggi, S. Stanley, R. Steckhan, N. Strobl, F. Subissi, L. Supriyanto, I. Surve, C.R. Suzuki, T. Syme, C. Sörelius, K. Tang, Y. Tantawy, M. Tennakoon, S. Teseo, S. Toelzer, C. Tomov, N. Tovar, M. Tran, L. Tripathi, S. Tuladhar, A.M. Ukubuiwe, A.C. Ung, C.O.L. Valgepea, K. Vatanparast, H. Vidal, A. Wang, F. Wang, Q. Watari, R. Webster, R. Webster, R. Wei, J. Wibowo, D. Wingenbach, T.S.H. Xavier, R.M. Xiao, S. Xiong, P. Xu, S. Xu, S. Yao, R. Yao, W. Yin, Q. Yu, Y. Zaitsu, M. Zeineb, Z. Zhan, X.-Y. Zhang, J. Zhang, R. Zhang, W. Zhang, X. Zheng, S. Zhou, B. Zhou, X. Ahmad, H. Akinwumi, S.A. Albery, G.F. Alhowimel, A. Ali, J. Alshehri, M. Alsuhaibani, M. Anikin, A. Azubuike, S.O. Bach-Mortensen, A. Baltiansky, L. Bartas, M. Belachew, K.Y. Bhardwaj, V. Binder, K. Bland, N.S. Boah, M. Bullen, B. Calabrò, G.E. Callahan, T.J. Cao, B. Chalmers, K. Chang, W. Che, Z. Chen, A.T.Y. Chen, H. Chen, H. Chen, Y. Chen, Z. Choi, Y. Chowdhury, M.A.K. Christensen, M.R. Cooke, R.S.C. Cottini, M. Covington, N.V. Cunningham, C. Delarocque, J. Devos, L. Dhar, A.R. Ding, K.-F. Dong, K. Dong, Z. Dreyer, N. Ekstrand, C. Fardet, T. Feleke, B.E. Feurer, T. Freitas, A. Gao, T. Gebremedhin Giganti, F. Grabowski, P. Guerra-Mora, J.R. Guo, C. Guo, X. Gupta, H. He, S. Heijne, M. Heinemann, S. Hogrebe, A. Huang, Z. Iskander-Rizk, S. Iyer, L.M. Jahan, Y. James, A.S. Joel, E. Joffroy, B. Jégousse, C. Kambondo, G. Karnati, P. Kaya, C. Ke, A. Kelly, D. Kickert, R. Kidibule, P.E. Kieselmann, J.P. Kim, H.J. Kitazawa, T. Lamberts, A. Li, Y. Liang, H. Linn, S.N. Litfin, T. Liusuo, W. Lygirou, V. Mahato, A.K. Mai, Z.-M. Major, R.W. Mali, S. Mallis, P. Mao, W. Marvin-Dowle, K. Mason, L.D. Merideth, B. Merino-Plaza, M.J. Merlaen, B. Messina, R. Mishra, A.K. Muhammad, J. Musinguzi, C. Nanou, A. Naqash, A. Nguyen, J.T. Nguyen, T.T.H. Ni, D. Nida Notcovich, S. Ohst, B. Ollivier, Q.R. Osses, D.F. Peng, X. Plantinga, A. Pulia, M. Rafiq, M. Raman, A. Raucher-Chéné Rawski, R. Ray, A. Razak, L.A. Rudolf, K. Rusch, P. Sadoine, M.L. Schmidt, A. Schurr, R. Searles, S. Sharma, S. Sheehan, B. Shi, C. Shohayeb, B. Sommerlad, A. Strehlow, J. Sun, X. Sundar, R. Taherzadeh, G. Tahir, N.D.M. Tang, J. Testa, J. Tian, Z. Tingting, Q. Verheijen, G.P. Vickstrom, C. Wang, T. Wang, X. Wang, Z. Wei, P. Wilson, A. Wyart Yassine, A.-A. Yousefzadeh, A. Zare, A. Zeng, Z. Zhang, C. Zhang, H. Zhang, L. Zhang, T. Zhang, W. Zhang, Z. Zhou, J. Zhu, D. Adamo, V. Adeyemo, A.A. Aggelidou, M. Al-Owaifeer, A.M. Al-Riyami, A.Z. Alzghari, S.K. Andersen, V. Angus, K. Asaduzzaman, M. Asady, H. Ato, D. Bai, X. Baines, R.L. Ballantyne, M. Ban, B. Beck, J. Ben-Nafa, W. Black, E. Blancher, A. Blankstein, R. Bodagh, N. Borges, P. Brooks, A. Brox-Ponce, J. Brunetti, A. Canham, C.D. Carninci, P. Carvajal, R. Chang, S.C. Chao, J. Chatterjee, P. Chen, H. Chen, L. Chen, Y.-C. Chhatriwalla, A.K. Chikowe, I. Chuang, T.-J. Collevatti, R.G. Cornejo, D.A.V. Cuenda, A. Dao, M. Dauga, D. Deng, Z. Devkota, K. Doan, L.V. Elewa, Y.H.A. Fan, D. Faruk, M. Feifei, S. Ferguson, T.S. Fleres, F. Foster, E.J. Foster, S. Furer, T. Gao, Y. Garcia-Rivera, E.J. Gazdar, A. George, R.B. Ghosh, S. Gianchecchi, E. Gleason, J.M. Hackshaw, A. Hall, A. Hall, R. Harper, P. Hogg, W.E. Huang, G. Hunter, K.E. Ijzerman, A.P. Jesus, C. Jian, G. Lewis, J.S., Jr. Kanj, S.S. Kaur, H. Kelly, S. Kheir, F. Kichatova, V.S. Kiyani, M. Klein, R. Kovesi, T. Kraschnewski, J.L. Kumar, A.P. Labutin, D. Lazo-Langner, A. Leclercq, G. Li, M. Li, Q. Li, T. Li, Y. Liao, W.-T. Liao, Z.-Y. Lin, J. Lizer, J. Lobreglio, G. Lowies, C. Lu, C. Majeed, H. Martin, A. Martinez-Sobrido, L. Meresh, E. Middelveen, M. Mohebbi, A. Mota, J. Mozaheb, Z. Muyaya, L. Nandhakumar, A. Ng, S.H.X. Obeidat, M. Oh, D.-H. Owais, M. Pace-Asciak, P. Panwar, A. Park, C. Patterson, C. Penagos-Tabaree, F. Pianosi, P.T. Pinzi, V. Pridans, C. Psaroulaki, A. Pujala, R.K. Pulido-Arjona, L. Qi, P.-F. Rahman, P. Rai, N.K. Rassaf, T. Refardt, J. Ricciardi, W. Riess, O. Rovas, A. Sacks, F.M. Saleh, S. Sampson, C. Schmutz, A. Sepanski, R. Sharma, N. Singh, M. Spearman, P. Subramaniapillai, M. Swali, R. Tan, C.M. Tellechea, J.I. Thomas, L.-M. Tong, X. Vavvas, D.G. Veys, R. Vitriol, V. Wang, H.-D. Wang, J. Wang, J. Waugh, J. Webb, S.A. Williams, B.A. Workman, A.D. Xiang, T. Xie, L.-X. Xu, J. Xu, T. Yang, C. Yoon, J.G. Yuan, C.M. Zaritsky, A. Zhang, Y. Zhao, H. Zuckerman, H. Lyu, R. Pullan, W. RELISH Consortium
- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press.
- Published
- 2019
39. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
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Brown, P., Zhou, Y., Tan, A. -C., El-Esawi, M. A., Liehr, T., Blanck, O., Gladue, D. P., Almeida, G. M. F., Cernava, T., Sorzano, C. O., Yeung, A. W. K., Engel, M. S., Chandrasekaran, A. R., Muth, T., Staege, M. S., Daulatabad, S. V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C. -C., Zhang, Z., Cascella, M., Flegel, W. A., Goodyear, C. S., van Raaij, M. J., Bukowy-Bieryllo, Z., Campana, L. G., Kurniawan, N. A., Lalaouna, D., Huttner, F. J., Ammerman, B. A., Ehret, F., Cobine, P. A., Tan, E. -C., Han, H., Xia, W., Mccrum, C., Dings, R. P. M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V. D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D. G., Kumar, N., Martis, E., Prieto, D., Sabnis, S. C., Amer, S. E. D. R., Liew, A. W. C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H. P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K. H., Boehme, K. A., Brenneisen, P., Brown, J. A. L., Dalrymple, B. P., Harvey, D. J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M. D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O. J., Kauppila, J. H., Zhang, X., Echeverria, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuiv, P. O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S. S., Terrier, O., Tuttle, N., Ascher, D. B., Janga, S. C., Schulte, L. N., Becker, D., Browngardt, C., Bush, S. J., Gaullier, G., Ide, K., Meseko, C., Werner, G. D. A., Zaucha, J., Al-Farha, A. A., Greenwald, N. F., Popoola, S. I., Rahman, S., Xu, J., Yang, S. Y., Hiroi, N., Alper, O. M., Baker, C. I., Bitzer, M., Chacko, G., Debrabant, B., Dixon, R., Forano, E., Gilliham, M., Kelly, S., Klempnauer, K. -H., Lidbury, B. A., Lin, M. Z., Lynch, I., Ma, W., Maibach, E. W., Mather, D. E., Nandakumar, K. S., Ohgami, R. S., Parchi, P., Tressoldi, P., Xue, Y., Armitage, C., Barraud, P., Chatzitheochari, S., Coelho, L. P., Diao, J., Doxey, A. C., Gobet, A., Hu, P., Kaiser, S., Mitchell, K. M., Salama, M. F., Shabalin, I. G., Song, H., Stevanovic, D., Yadollahpour, A., Zeng, E., Zinke, K., Alimba, C. G., Beyene, T. J., Cao, Z., Chan, S. S., Gatchell, M., Kleppe, A., Piotrowski, M., Torga, G., Woldesemayat, A. A., Cosacak, M. I., Haston, S., Ross, S. A., Williams, R., Wong, A., Abramowitz, M. K., Effiong, A., Lee, S., Abid, M. B., Agarabi, C., Alaux, C., Albrecht, D. R., Atkins, G. J., Beck, C. R., Bonvin, A. M. J. J., Bourke, E., Brand, T., Braun, R. J., Bull, J. A., Cardoso, P., Carter, D., Delahay, R. M., Ducommun, B., Duijf, P. H. G., Epp, T., Eskelinen, E. -L., Fallah, M., Farber, D. B., Fernandez-Triana, J., Feyerabend, F., Florio, T., Friebe, M., Furuta, S., Gabrielsen, M., Gruber, J., Grybos, M., Han, Q., Heinrich, M., Helantera, H., Huber, M., Jeltsch, A., Jiang, F., Josse, C., Jurman, G., Kamiya, H., de Keersmaecker, K., Kristiansson, E., de Leeuw, F. -E., Li, J., Liang, S., Lopez-Escamez, J. A., Lopez-Ruiz, F. J., Marchbank, K. J., Marschalek, R., Martin, C. S., Miele, A. E., Montagutelli, X., Morcillo, E., Nicoletti, R., Niehof, M., O'Toole, R., Ohtomo, T., Oster, H., Palma, J. -A., Paterson, R., Peifer, M., Portilla, M., Portillo, M. C., Pritchard, A. L., Pusch, S., Raghava, G. P. S., Roberts, N. J., Ross, K., Schuele, B., Sergeant, K., Shen, J., Stella, A., Sukocheva, O., Uversky, V. N., Vanneste, S., Villet, M. H., Viveiros, M., Vorholt, J. A., Weinstock, C., Yamato, M., Zabetakis, I., Zhao, X., Ziegler, A., Aizat, W. M., Atlas, L., Bridges, K. M., Chakraborty, S., Deschodt, M., Domingues, H. S., Esfahlani, S. S., Falk, S., Guisado, J. L., Kane, N. C., Kueberuwa, G., Lau, C. L., Liang, D., Liu, E., Luu, A. M., Ma, C., Ma, L., Moyer, R., Norris, A. D., Panthee, S., Parsons, J. R., Peng, Y., Pinto, I. M., Reschke, C. R., Sillanpaa, E., Stewart, C. J., Uhle, F., Yang, H., Zhou, K., Zhu, S., Ashry, M., Bergsland, N., Berthold, M., Chen, C. -E., Colella, V., Cuypers, M., Eskew, E. A., Fan, X., Gajda, M., Gonzalezlez-Prendes, R., Goodin, A., Graham, E. B., Groen, E. J. N., Gutierrez-Sacristan, A., Habes, M., Heffler, E., Higginbottom, D. B., Janzen, T., Jayaraman, J., Jibb, L. A., Jongen, S., Kinyanjui, T., Koleva-Kolarova, R. G., Li, Z., Liu, Y. -P., Lund, B. A., Lussier, A. A., Mier, P., Moore, M. D., Nagler, K., Orme, M. W., Pearson, J. A., Prajapati, A. S., Saito, Y., Troder, S. E., Uchendu, F., Verloh, N., Voutchkova, D. D., Abu-Zaid, A., Bakkach, J., Baumert, P., Dono, M., Hanson, J., Herbelet, S., Hobbs, E., Kulkarni, A., Liu, S., Loft, N. D., Reddan, T., Senghore, T., Vindin, H., Xu, H., Bannon, R., Chen, B., Cheung, J. T. K., Cooper, J., Esnakula, A. K., Feghali, K. A., Ghelardi, E., Gnasso, A., Horbar, J., Lai, H. M., Ma, R., Pan, Z., Peres, M. A., Pranata, R., Seow, E., Sydes, M., Testoni, I., Westermair, A. L., Yang, Y., Afnan, M., Albiol, J., Albuquerque, L. G., Amir, S., Amiya, E., Amorim, R. M., An, Q., Andersen, S. U., Aplin, J. D., Argyropoulos, C., Asmann, Y. W., Assaeed, A. M., Atanasov, A. G., Atchison, D. A., Avery, S. V., Avillach, P., Baade, P. D., Backman, L., Badie, C., Baldi, A., Ball, E., Bardot, O., Barnett, A. G., Basner, M., Batra, J., Bazanova, O. M., Beale, A., Beddoe, T., Bell, M. L., Berezikov, E., Berners-Price, S., Bernhardt, P., Berry, E., Bessa, T. B., Billington, C., Birch, J., Blakely, R. D., Blaskovich, M. A. T., Blum, R., Boelaert, M., Bogdanos, D., Bosch, C., Bourgoin, T., Bouvard, D., Boykin, L. M., Bradley, G., Braun, D., Brownlie, J., Bruhl, A., Burt, A., Butler, L. M., Byrareddy, S. N., Byrne, H. J., Cabantous, S., Calatayud, S., Candal, E., Carlson, K., Casillas, S., Castelvetro, V., Caswell, P. T., Cavalli, G., Cerovsky, V., Chagoyen, M., Chen, C. -S., Chen, D. F., Chen, H., Chen, J. -T., Chen, Y., Cheng, C., Cheng, J., Chinapaw, M., Chinopoulos, C., Cho, W. C. S., Chong, L., Chowdhury, D., Chwalibog, A., Ciresi, A., Cockcroft, S., Conesa, A., Cook, P. A., Cooper, D. N., Coqueret, O., Corea, E. M., Costa, A., Costa, E., Coupland, C., Crawford, S. Y., Cruz, A. D., Cui, H., Cui, Q., Culver, D. C., D'Angiulli, A., Dahms, T. E. S., Daigle, F., Dalgleish, R., Danielsen, H. E., Darras, S., Davidson, S. M., Day, D. A., Degirmenci, V., Demaison, L., Devriendt, K., Ding, J., Dogan, Y., Dong, X. C., Donner, C. F., Dressick, W., Drevon, C. A., Duan, H., Ducho, C., Dumaz, N., Dwarakanath, B. S., Ebell, M. H., Eisenhardt, S., Elkum, N., Engel, N., Erickson, T. B., Fairhead, M., Faville, M. J., Fejzo, M. S., Festa, F., Feteira, A., Flood-Page, P., Forsayeth, J., Fox, S. A., Franks, S. J., Frentiu, F. D., Frilander, M. J., Fu, X., Fujita, S., Galea, I., Galluzzi, L., Gani, F., Ganpule, A. P., Garcia-Alix, A., Gedye, K., Giordano, M., Giunta, C., Gleeson, P. A., Goarant, C., Gong, H., Gora, D., Gough, M. J., Goyal, R., Graham, K. E., Grande-Perez, A., Graves, P. M., Greidanus, H., Grice, D., Grunau, C., Gumulya, Y., Guo, Y., Gurevich, V. V., Gusev, O., Hacker, E., Hage, S. R., Hagen, G., Hahn, S., Haller, D. M., Hammerschmidt, S., Han, J., Han, R., Handfield, M., Hapuarachchi, H. C., Harder, T., Hardingham, J. E., Heck, M., Heers, M., Hew, K. F., Higuchi, Y., Hilaire, C. St., Hilton, R., Hodzic, E., Hone, A., Hongoh, Y., Hu, G., Huber, H. P., Hueso, L. E., Huirne, J., Hurt, L., Idborg, H., Ikeo, K., Ingley, E., Jakeman, P. M., Jensen, A., Jia, H., Jia, S., Jiang, J., Jiang, X., Jin, Y., Jo, D., Johnson, A. M., Johnston, M., Jonscher, K. R., Jorens, P. G., Jorgensen, J. O. L., Joubert, J. W., Jung, S. -H., Junior, A. M., Kahan, T., Kamboj, S. K., Kang, Y. -K., Karamanos, Y., Karp, N. A., Kelly, R., Kenna, R., Kennedy, J., Kersten, B., Khalaf, R. A., Khalid, J. M., Khatlani, T., Khider, T., Kijanka, G. S., King, S. R. B., Kluz, T., Knox, P., Kobayashi, T., Koch, K. -W., Kohonen-Corish, M. R. J., Kong, X., Konkle-Parker, D., Korpela, K. M., Kostrikis, L. G., Kraiczy, P., Kratz, H., Krause, G., Krebsbach, P. H., Kristensen, S. R., Kumari, P., Kunimatsu, A., Kurdak, H., Kwon, Y. D., Lachat, C., Lagisz, M., Laky, B., Lammerding, J., Lange, M., Larrosa, M., Laslett, A. L., Laverman, G. D., Leclair, E. E., Lee, K. -W., Lee, M. -Y., Lee, M. -S., Li, G., Lieb, K., Lim, Y. Y., Lindsey, M. L., Line, P. -D., Liu, D., Liu, F., Liu, H., Lloyd, V. K., Lo, T. -W., Locci, E., Loidl, J., Lorenzen, J., Lorkowski, S., Lovell, N. H., Lu, H., Lu, W., Lu, Z., Luengo, G. S., Lundh, L. -G., Lysy, P. A., Mabb, A., Mack, H. G., Mackey, D. A., Mahdavi, S. R., Maher, P., Maher, T., Maity, S. N., Malgrange, B., Mamoulakis, C., Mangoni, A. A., Manke, T., Manstead, A. S. R., Mantalaris, A., Marsal, J., Marschall, H. -U., Martin, F. L., Martinez-Raga, J., Martinez-Salas, E., Mathieu, D., Matsui, Y., Maza, E., Mccutcheon, J. E., Mckay, G. J., Mcmillan, B., Mcmillan, N., Meads, C., Medina, L., Merrick, B. A., Metzger, D. W., Meunier, F. A., Michaelis, M., Micheau, O., Mihara, H., Mintz, E. M., Mizukami, T., Moalic, Y., Mohapatra, D. P., Monteiro, A., Montes, M., Moran, J. V., Morozov, S. Y., Mort, M., Murai, N., Murphy, D. J., Murphy, S. K., Murray, S. A., Naganawa, S., Nammi, S., Nasios, G., Natoli, R. M., Nguyen, F., Nicol, C., van Nieuwerburgh, F., Nilsen, E. B., Nobile, C. J., O'Mahony, M., Ohlsson, S., Olatunbosun, O., Olofsson, P., Ortiz, A., Ostrikov, K., Otto, S., Outeiro, T. F., Ouyang, S., Paganoni, S., Page, A., Palm, C., Paradies, Y., Parsons, M. H., Parsons, N., Pascal, P., Paul, E., Peckham, M., Pedemonte, N., Pellizzon, M. A., Petrelli, M., Pichugin, A., Pinto, C. J. C., Plevris, J. N., Pollesello, P., Polz, M., Ponti, G., Porcelli, P., Prince, M., Quinn, G. P., Quinn, T. J., Ramula, S., Rappsilber, J., Rehfeldt, F., Reiling, J. H., Remacle, C., Rezaei, M., Riddick, E. W., Ritter, U., Roach, N. W., Roberts, D. D., Robles, G., Rodrigues, T., Rodriguez, C., Roislien, J., Roobol, M. J., Rowe, A., Ruepp, A., van Ruitenbeek, J., Rust, P., Saad, S., Sack, G. H., Santos, M., Saudemont, A., Sava, G., Schrading, S., Schramm, A., Schreiber, M., Schuler, S., Schymkowitz, J., Sczyrba, A., Seib, K. L., Shi, H. -P., Shimada, T., Shin, J. -S., Shortt, C., Silveyra, P., Skinner, D., Small, I., Smeets, P. A. M., So, P. -W., Solano, F., Sonenshine, D. E., Song, J., Southall, T., Speakman, J. R., Srinivasan, M. V., Stabile, L. P., Stasiak, A., Steadman, K. J., Stein, N., Stephens, A. W., Stewart, D. I., Stine, K., Storlazzi, C., Stoynova, N. V., Strzalka, W., Suarez, O. M., Sultana, T., Sumant, A. V., Summers, M. J., Sun, G., Tacon, P., Tanaka, K., Tang, H., Tanino, Y., Targett-Adams, P., Tayebi, M., Tayyem, R., Tebbe, C. C., Telfer, E. E., Tempel, W., Teodorczyk-Injeyan, J. A., Thijs, G., Thorne, S., Thrift, A. G., Tiffon, C., Tinnefeld, P., Tjahjono, D. H., Tolle, F., Toth, E., Del Tredici, A. L., Tsapas, A., Tsirigotis, K., Turak, A., Tzotzos, G., Udo, E. E., Utsumi, T., Vaidyanathan, S., Vaillant, M., Valsesia, A., Vandenbroucke, R. E., Veiga, F. H., Vendrell, M., Vesk, P. A., Vickers, P., Victor, V. M., Villemur, R., Vohl, M. -C., Voolstra, C. R., Vuillemin, A., Wakelin, S., Waldron, L., Walsh, L. J., Wang, A. Y., Wang, F., Wang, Y., Watanabe, Y., Weigert, A., Wen, J. -C., Wham, C., White, E. P., Wiener, J., Wilharm, G., Wilkinson, S., Willmann, R., Wilson, C., Wirth, B., Wojan, T. R., Wolff, M., Wong, B. M., Wu, T. -W., Wuerbel, H., Xiao, X., Xu, D., Xu, J. W., Xue, B., Yalcin, S., Yan, H., Yang, E. -C., Yang, S., Yang, W., Ye, Y., Ye, Z. -Q., Yli-Kauhaluoma, J., Yoneyama, H., Yu, Y., Yuan, G. -C., Yuh, C. -H., Zaccolo, M., Zeng, C., Zevnik, B., Zhang, L., Zhang, Y., Zhang, Z. -Y., Zhao, Y., Zhou, M., Zuberbier, T., Aanei, C. M., Ahmad, R., Al-Lawama, M., Alanio, A., Allardyce, J., Alonso-Caneiro, D., Atack, J. M., Baier, D., Bansal, A., Benezeth, Y., Berbesque, C., Berrevoet, F., Biedermann, P. H. W., Bijleveld, E., Bittner, F., Blombach, F., van den Bos, W., Boudreau, S. A., Bramoweth, A. D., Braubach, O., Cai, Y., Campbell, M., Catry, T., Chen, X., Cheng, S., Chung, H. -J., Chavez-Fumagalli, M. A., Conway, A., Costa, B. M., Cyr, N., Dean, L. T., Denzel, M. S., Dlamini, S. V., Dudley, K. J., Dufies, M., Ecke, T., Eckweiler, D., Eixarch, E., El-Adawy, H., Emmrich, J. V., Eustace, A. J., Falter-Wagner, C. M., Farhoudi, R., Fuss, J., Gao, J., Gill, M. R., Gloyn, L., Goggs, R., Govinden, U., Greene, G., Greiff, V., Grundle, D. S., Gruneberg, P., Gumede, N., Haore, G., Harrison, P., Hoenner, X., Hojsgaard, D., Hori, H., Ikonomopoulou, M. P., Jeurissen, P., Johnson, D. M., Kabra, D., Kamagata, K., Karmakar, C., Kasian, O., Kaye, L. K., Khan, M. M., Kim, Y. -M., Kish, J. K., Kobold, S., Kohanbash, G., Kohls, G., Kugler, J. -M., Kumar, G., Lacy-Colson, J., Latif, A., Lauschke, V. M., Li, B., Lim, C. J., Liu, X., Lu, J. -J., Lu, Q., Mahavadi, P., Marzocchi, U., Mcgarrigle, C. A., van Meerten, T., Min, R., Moal, I., Molari, M., Molleman, L., Mondal, S. R., van de Mortel, T., Moss, W. N., Moultos, O. A., Mukherjee, M., Nakayama, K., Narayan, E., Navaratnarajah, Neumann, P. -A., Nie, J., Nie, Y., Niemeyer, F., Nolan, F., Nwaiwu, O., Oldenmenger, W. H., Olumayede, E., Ou, J., Pallebage-Gamarallage, M., Pearce, S. P., Pelkonen, T., Pelleri, M. C., Pereira, J. L., Pheko, M., Pinto, K. A., Piovesan, A., Pluess, M., Podolsky, I. M., Prescott, J., Qi, D., Qi, X., Raikou, V. D., Ranft, A., Rhodes, J., Rotge, J. -Y., Rowe, A. D., Saggar, M., Schuon, R. A., Shahid, S., Shalchyan, V., Shirvalkar, P., Shiryayev, O., Singh, J., Smout, M. J., Soares, A., Song, C., Srivastava, K., Srivastava, R. K., Sun, J., Szabo, A., Szymanski, W., Tai, C. N. P., Takeuchi, H., Tanadini-Lang, S., Tang, F., Tao, W., Theron, G., Tian, C. F., Tian, Y. -S., Tuttle, L. M., Valenti, A., Verlot, P., Walker, M., Wang, J., Welter, D., Winslade, M., Wu, D., Wu, Y. -R., Xiao, H., Xu, B., Xu, Z., Yang, D., Yang, M., Yankilevich, P., You, Y., Yu, C., Zhan, J., Zhang, G., Zhang, K., Zhang, T., Zhao, G., Zhao, J., Zhou, X., Zhu, Z., Ajani, P. A., Anazodo, U. C., Bagloee, S. A., Bail, K., Bar, I., Bathelt, J., Benkeser, D., Bernier, M. L., Blanchard, A. M., Boakye, D. W., Bonatsos, V., Boon, M. H., Bouboulis, G., Bromfield, E., Brown, J., Bul, K. C. M., Burton, K. J., Butkowski, E. G., Carroll, G., Chao, F., Charrier, E. E., Chen, Y. -C., Chenguang, Choi, J. R., Christoffersen, T., Comel, J. C., Cosse, C., Cui, Y., van Dessel, P., Dhaval, Diodato, D., Duffey, M., Dutt, A., Egea, L. G., El-Said, M., Faye, M., Fernandez-Fernandez, B., Foley, K. G., Founou, L. L., Fu, F., Gadelkareem, R. A., Galimov, E., Garip, G., Gemmill, A., Gouil, Q., Grey, J., Gridneva, Z., Grothe, M. J., Grebert, T., Guerrero, F., Guignard, L., Haenssgen, M. J., Hasler, D., Holgate, J. Y., Huang, A., Hulse-Kemp, A. M., Jean-Quartier, C., Jeon, S. -M., Jia, Y., Jutzeler, C., Kalatzis, P., Karim, M., Karsay, K., Keitel, A., Kempe, A., Keown, J. R., Khoo, C. M., Khwaja, N., Kievit, R. A., Kosanic, S., Koutoukidis, D. A., Kramer, P., Kumar, D., Kirag, N., Lanza, G., Le, T. D., Leem, J. W., Leightley, D., Leite, A., Lercher, L., Li, Y., Lim, R., Lima, L. R. A., Lin, L., Ling, T., Liu, Y., Liu, Z., Lu, Y., Lum, F. M., Luo, H., Machhi, J., Macleod, A., Macwan, I., Madala, H. R., Madani, N., de Maio, N., Makowiecki, K., Mallinson, D. J., Margelyte, R., Maria, C., Markonis, Y., Marsili, L., Mavoa, S., Mcwilliams, L., Megersa, M., Souto-Maior, C., Menichetti, J., Mercieca-Bebber, R., Miller, J. J., Minde, D. -P. M., Minges, A., Mishra, E., Mishra, V. R., Moores, C., Morrice, N., Moskalensky, A. E., Navarin, N., Negera, E., Nolet, P., Nordberg, A., Norden, R., Nowicki, J. P., Olova, N., Olszewski, P., Onzima, R., Pan, C. -L., Park, C., Park, D. I., Park, S., Patil, C. D., Pedro, S. A., Perry, S. R., Peter, J., Peterson, B. M., Pezzuolo, A., Pozdnyakov, I., Qian, S., Qin, L., Rafe, A., Raote, I., Raza, A., Rebl, H., Refai, O., Regan, T., Richa, T., Richardson, M. F., Robinson, K. R., Rossoni, L., Rouet, R., Safaei, S., Schneeberger, P. H. H., Schwotzer, D., Sebastian, A., Selinski, J., Seltmann, S., Sha, F., Shalev, N., Shang, J. -L., Singer, J., Singh, M., Smith, T., Solomon-Moore, E., Song, L., Soraggi, S., Stanley, R., Steckhan, N., Strobl, F., Subissi, L., Supriyanto, I., Surve, C. R., Suzuki, T., Syme, C., Sorelius, K., Tang, Y., Tantawy, M., Tennakoon, S., Teseo, S., Toelzer, C., Tomov, N., Tovar, M., Tran, L., Tripathi, S., Tuladhar, A. M., Ukubuiwe, A. C., Ung, C. O. L., Valgepea, K., Vatanparast, H., Vidal, A., Wang, Q., Watari, R., Webster, R., Wei, J., Wibowo, D., Wingenbach, T. S. H., Xavier, R. M., Xiao, S., Xiong, P., Xu, S., Yao, R., Yao, W., Yin, Q., Zaitsu, M., Zeineb, Z., Zhan, X. -Y., Zhang, R., Zhang, W., Zheng, S., Zhou, B., Ahmad, H., Akinwumi, S. A., Albery, G. F., Alhowimel, A., Ali, J., Alshehri, M., Alsuhaibani, M., Anikin, A., Azubuike, S. O., Bach-Mortensen, A., Baltiansky, L., Bartas, M., Belachew, K. Y., Bhardwaj, V., Binder, K., Bland, N. S., Boah, M., Bullen, B., Calabro', Giovanna Elisa, Callahan, T. J., Cao, B., Chalmers, K., Chang, W., Che, Z., Chen, A. T. Y., Chen, Z., Choi, Y., Chowdhury, M. A. K., Christensen, M. R., Cooke, R. S. C., Cottini, M., Covington, N. V., Cunningham, C., Delarocque, J., Devos, L., Dhar, A. R., Ding, K. -F., Dong, K., Dong, Z., Dreyer, N., Ekstrand, C., Fardet, T., Feleke, B. E., Feurer, T., Freitas, A., Gao, T., Gebremedhin, Giganti, F., Grabowski, P., Guerra-Mora, J. R., Guo, C., Guo, X., Gupta, H., He, S., Heijne, M., Heinemann, S., Hogrebe, A., Huang, Z., Iskander-Rizk, S., Iyer, L. M., Jahan, Y., James, A. S., Joel, E., Joffroy, B., Jegousse, C., Kambondo, G., Karnati, P., Kaya, C., Ke, A., Kelly, D., Kickert, R., Kidibule, P. E., Kieselmann, J. P., Kim, H. J., Kitazawa, T., Lamberts, A., Liang, H., Linn, S. N., Litfin, T., Liusuo, W., Lygirou, V., Mahato, A. K., Mai, Z. -M., Major, R. W., Mali, S., Mallis, P., Mao, W., Marvin-Dowle, K., Mason, L. D., Merideth, B., Merino-Plaza, M. J., Merlaen, B., Messina, R., Mishra, A. K., Muhammad, J., Musinguzi, C., Nanou, A., Naqash, A., Nguyen, J. T., Nguyen, T. T. H., Ni, D., Nida, Notcovich, S., Ohst, B., Ollivier, Q. R., Osses, D. F., Peng, X., Plantinga, A., Pulia, M., Rafiq, M., Raman, A., Raucher-Chene, Rawski, R., Ray, A., Razak, L. A., Rudolf, K., Rusch, P., Sadoine, M. L., Schmidt, A., Schurr, R., Searles, S., Sharma, S., Sheehan, B., Shi, C., Shohayeb, B., Sommerlad, A., Strehlow, J., Sun, X., Sundar, R., Taherzadeh, G., Tahir, N. D. M., Tang, J., Testa, J., Tian, Z., Tingting, Q., Verheijen, G. P., Vickstrom, C., Wang, T., Wang, X., Wang, Z., Wei, P., Wilson, A., Wyart, Yassine, A. -A., Yousefzadeh, A., Zare, A., Zeng, Z., Zhang, H., Zhou, J., Zhu, D., Adamo, V., Adeyemo, A. A., Aggelidou, M., Al-Owaifeer, A. M., Al-Riyami, A. Z., Alzghari, S. K., Andersen, V., Angus, K., Asaduzzaman, M., Asady, H., Ato, D., Bai, X., Baines, R. L., Ballantyne, M., Ban, B., Beck, J., Ben-Nafa, W., Black, E., Blancher, A., Blankstein, R., Bodagh, N., Borges, P., Brooks, A., Brox-Ponce, J., Brunetti, A., Canham, C. D., Carninci, P., Carvajal, R., Chang, S. C., Chao, J., Chatterjee, P., Chen, L., Chhatriwalla, A. K., Chikowe, I., Chuang, T. -J., Collevatti, R. G., Cornejo, D. A. V., Cuenda, A., Dao, M., Dauga, D., Deng, Z., Devkota, K., Doan, L. V., Elewa, Y. H. A., Fan, D., Faruk, M., Feifei, S., Ferguson, T. S., Fleres, F., Foster, E. J., Foster, S., Furer, T., Gao, Y., Garcia-Rivera, E. J., Gazdar, A., George, R. B., Ghosh, S., Gianchecchi, E., Gleason, J. M., Hackshaw, A., Hall, A., Hall, R., Harper, P., Hogg, W. E., Huang, G., Hunter, K. E., Ijzerman, A. P., Jesus, C., Jian, G., Lewis, J. S., Kanj, S. S., Kaur, H., Kheir, F., Kichatova, V. S., Kiyani, M., Klein, R., Kovesi, T., Kraschnewski, J. L., Kumar, A. P., Labutin, D., Lazo-Langner, A., Leclercq, G., Li, M., Li, Q., Li, T., Liao, W. -T., Liao, Z. -Y., Lin, J., Lizer, J., Lobreglio, G., Lowies, C., Lu, C., Majeed, H., Martin, A., Martinez-Sobrido, L., Meresh, E., Middelveen, M., Mohebbi, A., Mota, J., Mozaheb, Z., Muyaya, L., Nandhakumar, A., Ng, S. H. X., Obeidat, M., Oh, D. -H., Owais, M., Pace-Asciak, P., Panwar, A., Patterson, C., Penagos-Tabaree, F., Pianosi, P. T., Pinzi, V., Pridans, C., Psaroulaki, A., Pujala, R. K., Pulido-Arjona, L., Qi, P. -F., Rahman, P., Rai, N. K., Rassaf, T., Refardt, J., Ricciardi, Walter, Riess, O., Rovas, A., Sacks, F. M., Saleh, S., Sampson, C., Schmutz, A., Sepanski, R., Sharma, N., Spearman, P., Subramaniapillai, M., Swali, R., Tan, C. M., Tellechea, J. I., Thomas, L. -M., Tong, X., Vavvas, D. G., Veys, R., Vitriol, V., Wang, H. -D., Waugh, J., Webb, S. A., Williams, B. A., Workman, A. D., Xiang, T., Xie, L. -X., Xu, T., Yang, C., Yoon, J. G., Yuan, C. M., Zaritsky, A., Zhao, H., Zuckerman, H., Lyu, R., Pullan, W., Calabro G. E. (ORCID:0000-0003-0259-3797), Ricciardi W. (ORCID:0000-0002-5655-688X), Brown, P., Zhou, Y., Tan, A. -C., El-Esawi, M. A., Liehr, T., Blanck, O., Gladue, D. P., Almeida, G. M. F., Cernava, T., Sorzano, C. O., Yeung, A. W. K., Engel, M. S., Chandrasekaran, A. R., Muth, T., Staege, M. S., Daulatabad, S. V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C. -C., Zhang, Z., Cascella, M., Flegel, W. A., Goodyear, C. S., van Raaij, M. J., Bukowy-Bieryllo, Z., Campana, L. G., Kurniawan, N. A., Lalaouna, D., Huttner, F. J., Ammerman, B. A., Ehret, F., Cobine, P. A., Tan, E. -C., Han, H., Xia, W., Mccrum, C., Dings, R. P. M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V. D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D. G., Kumar, N., Martis, E., Prieto, D., Sabnis, S. C., Amer, S. E. D. R., Liew, A. W. C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H. P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K. H., Boehme, K. A., Brenneisen, P., Brown, J. A. L., Dalrymple, B. P., Harvey, D. J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M. D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O. J., Kauppila, J. H., Zhang, X., Echeverria, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuiv, P. O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S. S., Terrier, O., Tuttle, N., Ascher, D. B., Janga, S. C., Schulte, L. N., Becker, D., Browngardt, C., Bush, S. J., Gaullier, G., Ide, K., Meseko, C., Werner, G. D. A., Zaucha, J., Al-Farha, A. A., Greenwald, N. F., Popoola, S. I., Rahman, S., Xu, J., Yang, S. Y., Hiroi, N., Alper, O. M., Baker, C. I., Bitzer, M., Chacko, G., Debrabant, B., Dixon, R., Forano, E., Gilliham, M., Kelly, S., Klempnauer, K. -H., Lidbury, B. A., Lin, M. Z., Lynch, I., Ma, W., Maibach, E. W., Mather, D. E., Nandakumar, K. S., Ohgami, R. S., Parchi, P., Tressoldi, P., Xue, Y., Armitage, C., Barraud, P., Chatzitheochari, S., Coelho, L. P., Diao, J., Doxey, A. C., Gobet, A., Hu, P., Kaiser, S., Mitchell, K. M., Salama, M. F., Shabalin, I. G., Song, H., Stevanovic, D., Yadollahpour, A., Zeng, E., Zinke, K., Alimba, C. 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E., Montagutelli, X., Morcillo, E., Nicoletti, R., Niehof, M., O'Toole, R., Ohtomo, T., Oster, H., Palma, J. -A., Paterson, R., Peifer, M., Portilla, M., Portillo, M. C., Pritchard, A. L., Pusch, S., Raghava, G. P. S., Roberts, N. J., Ross, K., Schuele, B., Sergeant, K., Shen, J., Stella, A., Sukocheva, O., Uversky, V. N., Vanneste, S., Villet, M. H., Viveiros, M., Vorholt, J. A., Weinstock, C., Yamato, M., Zabetakis, I., Zhao, X., Ziegler, A., Aizat, W. M., Atlas, L., Bridges, K. M., Chakraborty, S., Deschodt, M., Domingues, H. S., Esfahlani, S. S., Falk, S., Guisado, J. L., Kane, N. C., Kueberuwa, G., Lau, C. L., Liang, D., Liu, E., Luu, A. M., Ma, C., Ma, L., Moyer, R., Norris, A. D., Panthee, S., Parsons, J. R., Peng, Y., Pinto, I. M., Reschke, C. R., Sillanpaa, E., Stewart, C. J., Uhle, F., Yang, H., Zhou, K., Zhu, S., Ashry, M., Bergsland, N., Berthold, M., Chen, C. -E., Colella, V., Cuypers, M., Eskew, E. A., Fan, X., Gajda, M., Gonzalezlez-Prendes, R., Goodin, A., Graham, E. B., Groen, E. J. N., Gutierrez-Sacristan, A., Habes, M., Heffler, E., Higginbottom, D. B., Janzen, T., Jayaraman, J., Jibb, L. A., Jongen, S., Kinyanjui, T., Koleva-Kolarova, R. G., Li, Z., Liu, Y. -P., Lund, B. A., Lussier, A. A., Mier, P., Moore, M. D., Nagler, K., Orme, M. W., Pearson, J. A., Prajapati, A. S., Saito, Y., Troder, S. E., Uchendu, F., Verloh, N., Voutchkova, D. D., Abu-Zaid, A., Bakkach, J., Baumert, P., Dono, M., Hanson, J., Herbelet, S., Hobbs, E., Kulkarni, A., Liu, S., Loft, N. D., Reddan, T., Senghore, T., Vindin, H., Xu, H., Bannon, R., Chen, B., Cheung, J. T. K., Cooper, J., Esnakula, A. K., Feghali, K. A., Ghelardi, E., Gnasso, A., Horbar, J., Lai, H. M., Ma, R., Pan, Z., Peres, M. A., Pranata, R., Seow, E., Sydes, M., Testoni, I., Westermair, A. L., Yang, Y., Afnan, M., Albiol, J., Albuquerque, L. G., Amir, S., Amiya, E., Amorim, R. M., An, Q., Andersen, S. U., Aplin, J. D., Argyropoulos, C., Asmann, Y. W., Assaeed, A. M., Atanasov, A. G., Atchison, D. A., Avery, S. V., Avillach, P., Baade, P. D., Backman, L., Badie, C., Baldi, A., Ball, E., Bardot, O., Barnett, A. G., Basner, M., Batra, J., Bazanova, O. M., Beale, A., Beddoe, T., Bell, M. L., Berezikov, E., Berners-Price, S., Bernhardt, P., Berry, E., Bessa, T. B., Billington, C., Birch, J., Blakely, R. D., Blaskovich, M. A. T., Blum, R., Boelaert, M., Bogdanos, D., Bosch, C., Bourgoin, T., Bouvard, D., Boykin, L. M., Bradley, G., Braun, D., Brownlie, J., Bruhl, A., Burt, A., Butler, L. M., Byrareddy, S. N., Byrne, H. J., Cabantous, S., Calatayud, S., Candal, E., Carlson, K., Casillas, S., Castelvetro, V., Caswell, P. T., Cavalli, G., Cerovsky, V., Chagoyen, M., Chen, C. -S., Chen, D. F., Chen, H., Chen, J. -T., Chen, Y., Cheng, C., Cheng, J., Chinapaw, M., Chinopoulos, C., Cho, W. C. S., Chong, L., Chowdhury, D., Chwalibog, A., Ciresi, A., Cockcroft, S., Conesa, A., Cook, P. A., Cooper, D. N., Coqueret, O., Corea, E. M., Costa, A., Costa, E., Coupland, C., Crawford, S. Y., Cruz, A. D., Cui, H., Cui, Q., Culver, D. C., D'Angiulli, A., Dahms, T. E. S., Daigle, F., Dalgleish, R., Danielsen, H. E., Darras, S., Davidson, S. M., Day, D. A., Degirmenci, V., Demaison, L., Devriendt, K., Ding, J., Dogan, Y., Dong, X. C., Donner, C. F., Dressick, W., Drevon, C. A., Duan, H., Ducho, C., Dumaz, N., Dwarakanath, B. S., Ebell, M. H., Eisenhardt, S., Elkum, N., Engel, N., Erickson, T. B., Fairhead, M., Faville, M. J., Fejzo, M. S., Festa, F., Feteira, A., Flood-Page, P., Forsayeth, J., Fox, S. A., Franks, S. J., Frentiu, F. D., Frilander, M. J., Fu, X., Fujita, S., Galea, I., Galluzzi, L., Gani, F., Ganpule, A. P., Garcia-Alix, A., Gedye, K., Giordano, M., Giunta, C., Gleeson, P. A., Goarant, C., Gong, H., Gora, D., Gough, M. J., Goyal, R., Graham, K. E., Grande-Perez, A., Graves, P. M., Greidanus, H., Grice, D., Grunau, C., Gumulya, Y., Guo, Y., Gurevich, V. V., Gusev, O., Hacker, E., Hage, S. R., Hagen, G., Hahn, S., Haller, D. M., Hammerschmidt, S., Han, J., Han, R., Handfield, M., Hapuarachchi, H. C., Harder, T., Hardingham, J. E., Heck, M., Heers, M., Hew, K. F., Higuchi, Y., Hilaire, C. St., Hilton, R., Hodzic, E., Hone, A., Hongoh, Y., Hu, G., Huber, H. P., Hueso, L. E., Huirne, J., Hurt, L., Idborg, H., Ikeo, K., Ingley, E., Jakeman, P. M., Jensen, A., Jia, H., Jia, S., Jiang, J., Jiang, X., Jin, Y., Jo, D., Johnson, A. M., Johnston, M., Jonscher, K. R., Jorens, P. G., Jorgensen, J. O. L., Joubert, J. W., Jung, S. -H., Junior, A. M., Kahan, T., Kamboj, S. K., Kang, Y. -K., Karamanos, Y., Karp, N. A., Kelly, R., Kenna, R., Kennedy, J., Kersten, B., Khalaf, R. A., Khalid, J. M., Khatlani, T., Khider, T., Kijanka, G. S., King, S. R. B., Kluz, T., Knox, P., Kobayashi, T., Koch, K. -W., Kohonen-Corish, M. R. J., Kong, X., Konkle-Parker, D., Korpela, K. M., Kostrikis, L. G., Kraiczy, P., Kratz, H., Krause, G., Krebsbach, P. H., Kristensen, S. R., Kumari, P., Kunimatsu, A., Kurdak, H., Kwon, Y. D., Lachat, C., Lagisz, M., Laky, B., Lammerding, J., Lange, M., Larrosa, M., Laslett, A. L., Laverman, G. D., Leclair, E. E., Lee, K. -W., Lee, M. -Y., Lee, M. -S., Li, G., Lieb, K., Lim, Y. Y., Lindsey, M. L., Line, P. -D., Liu, D., Liu, F., Liu, H., Lloyd, V. K., Lo, T. -W., Locci, E., Loidl, J., Lorenzen, J., Lorkowski, S., Lovell, N. H., Lu, H., Lu, W., Lu, Z., Luengo, G. S., Lundh, L. -G., Lysy, P. A., Mabb, A., Mack, H. G., Mackey, D. A., Mahdavi, S. R., Maher, P., Maher, T., Maity, S. N., Malgrange, B., Mamoulakis, C., Mangoni, A. A., Manke, T., Manstead, A. S. R., Mantalaris, A., Marsal, J., Marschall, H. -U., Martin, F. L., Martinez-Raga, J., Martinez-Salas, E., Mathieu, D., Matsui, Y., Maza, E., Mccutcheon, J. E., Mckay, G. J., Mcmillan, B., Mcmillan, N., Meads, C., Medina, L., Merrick, B. A., Metzger, D. W., Meunier, F. A., Michaelis, M., Micheau, O., Mihara, H., Mintz, E. M., Mizukami, T., Moalic, Y., Mohapatra, D. P., Monteiro, A., Montes, M., Moran, J. V., Morozov, S. Y., Mort, M., Murai, N., Murphy, D. J., Murphy, S. K., Murray, S. A., Naganawa, S., Nammi, S., Nasios, G., Natoli, R. M., Nguyen, F., Nicol, C., van Nieuwerburgh, F., Nilsen, E. B., Nobile, C. J., O'Mahony, M., Ohlsson, S., Olatunbosun, O., Olofsson, P., Ortiz, A., Ostrikov, K., Otto, S., Outeiro, T. F., Ouyang, S., Paganoni, S., Page, A., Palm, C., Paradies, Y., Parsons, M. H., Parsons, N., Pascal, P., Paul, E., Peckham, M., Pedemonte, N., Pellizzon, M. A., Petrelli, M., Pichugin, A., Pinto, C. J. C., Plevris, J. N., Pollesello, P., Polz, M., Ponti, G., Porcelli, P., Prince, M., Quinn, G. P., Quinn, T. J., Ramula, S., Rappsilber, J., Rehfeldt, F., Reiling, J. H., Remacle, C., Rezaei, M., Riddick, E. W., Ritter, U., Roach, N. W., Roberts, D. D., Robles, G., Rodrigues, T., Rodriguez, C., Roislien, J., Roobol, M. J., Rowe, A., Ruepp, A., van Ruitenbeek, J., Rust, P., Saad, S., Sack, G. H., Santos, M., Saudemont, A., Sava, G., Schrading, S., Schramm, A., Schreiber, M., Schuler, S., Schymkowitz, J., Sczyrba, A., Seib, K. L., Shi, H. -P., Shimada, T., Shin, J. -S., Shortt, C., Silveyra, P., Skinner, D., Small, I., Smeets, P. A. M., So, P. -W., Solano, F., Sonenshine, D. E., Song, J., Southall, T., Speakman, J. R., Srinivasan, M. V., Stabile, L. P., Stasiak, A., Steadman, K. J., Stein, N., Stephens, A. W., Stewart, D. I., Stine, K., Storlazzi, C., Stoynova, N. V., Strzalka, W., Suarez, O. M., Sultana, T., Sumant, A. V., Summers, M. J., Sun, G., Tacon, P., Tanaka, K., Tang, H., Tanino, Y., Targett-Adams, P., Tayebi, M., Tayyem, R., Tebbe, C. C., Telfer, E. E., Tempel, W., Teodorczyk-Injeyan, J. A., Thijs, G., Thorne, S., Thrift, A. G., Tiffon, C., Tinnefeld, P., Tjahjono, D. H., Tolle, F., Toth, E., Del Tredici, A. L., Tsapas, A., Tsirigotis, K., Turak, A., Tzotzos, G., Udo, E. E., Utsumi, T., Vaidyanathan, S., Vaillant, M., Valsesia, A., Vandenbroucke, R. E., Veiga, F. H., Vendrell, M., Vesk, P. A., Vickers, P., Victor, V. M., Villemur, R., Vohl, M. -C., Voolstra, C. R., Vuillemin, A., Wakelin, S., Waldron, L., Walsh, L. J., Wang, A. Y., Wang, F., Wang, Y., Watanabe, Y., Weigert, A., Wen, J. -C., Wham, C., White, E. P., Wiener, J., Wilharm, G., Wilkinson, S., Willmann, R., Wilson, C., Wirth, B., Wojan, T. R., Wolff, M., Wong, B. M., Wu, T. -W., Wuerbel, H., Xiao, X., Xu, D., Xu, J. W., Xue, B., Yalcin, S., Yan, H., Yang, E. -C., Yang, S., Yang, W., Ye, Y., Ye, Z. -Q., Yli-Kauhaluoma, J., Yoneyama, H., Yu, Y., Yuan, G. -C., Yuh, C. -H., Zaccolo, M., Zeng, C., Zevnik, B., Zhang, L., Zhang, Y., Zhang, Z. -Y., Zhao, Y., Zhou, M., Zuberbier, T., Aanei, C. M., Ahmad, R., Al-Lawama, M., Alanio, A., Allardyce, J., Alonso-Caneiro, D., Atack, J. M., Baier, D., Bansal, A., Benezeth, Y., Berbesque, C., Berrevoet, F., Biedermann, P. H. W., Bijleveld, E., Bittner, F., Blombach, F., van den Bos, W., Boudreau, S. A., Bramoweth, A. D., Braubach, O., Cai, Y., Campbell, M., Catry, T., Chen, X., Cheng, S., Chung, H. -J., Chavez-Fumagalli, M. A., Conway, A., Costa, B. M., Cyr, N., Dean, L. T., Denzel, M. S., Dlamini, S. V., Dudley, K. J., Dufies, M., Ecke, T., Eckweiler, D., Eixarch, E., El-Adawy, H., Emmrich, J. V., Eustace, A. J., Falter-Wagner, C. M., Farhoudi, R., Fuss, J., Gao, J., Gill, M. R., Gloyn, L., Goggs, R., Govinden, U., Greene, G., Greiff, V., Grundle, D. S., Gruneberg, P., Gumede, N., Haore, G., Harrison, P., Hoenner, X., Hojsgaard, D., Hori, H., Ikonomopoulou, M. P., Jeurissen, P., Johnson, D. M., Kabra, D., Kamagata, K., Karmakar, C., Kasian, O., Kaye, L. K., Khan, M. M., Kim, Y. -M., Kish, J. K., Kobold, S., Kohanbash, G., Kohls, G., Kugler, J. -M., Kumar, G., Lacy-Colson, J., Latif, A., Lauschke, V. M., Li, B., Lim, C. J., Liu, X., Lu, J. -J., Lu, Q., Mahavadi, P., Marzocchi, U., Mcgarrigle, C. A., van Meerten, T., Min, R., Moal, I., Molari, M., Molleman, L., Mondal, S. R., van de Mortel, T., Moss, W. N., Moultos, O. A., Mukherjee, M., Nakayama, K., Narayan, E., Navaratnarajah, Neumann, P. -A., Nie, J., Nie, Y., Niemeyer, F., Nolan, F., Nwaiwu, O., Oldenmenger, W. H., Olumayede, E., Ou, J., Pallebage-Gamarallage, M., Pearce, S. P., Pelkonen, T., Pelleri, M. C., Pereira, J. L., Pheko, M., Pinto, K. A., Piovesan, A., Pluess, M., Podolsky, I. M., Prescott, J., Qi, D., Qi, X., Raikou, V. D., Ranft, A., Rhodes, J., Rotge, J. -Y., Rowe, A. D., Saggar, M., Schuon, R. A., Shahid, S., Shalchyan, V., Shirvalkar, P., Shiryayev, O., Singh, J., Smout, M. J., Soares, A., Song, C., Srivastava, K., Srivastava, R. K., Sun, J., Szabo, A., Szymanski, W., Tai, C. N. P., Takeuchi, H., Tanadini-Lang, S., Tang, F., Tao, W., Theron, G., Tian, C. F., Tian, Y. -S., Tuttle, L. M., Valenti, A., Verlot, P., Walker, M., Wang, J., Welter, D., Winslade, M., Wu, D., Wu, Y. -R., Xiao, H., Xu, B., Xu, Z., Yang, D., Yang, M., Yankilevich, P., You, Y., Yu, C., Zhan, J., Zhang, G., Zhang, K., Zhang, T., Zhao, G., Zhao, J., Zhou, X., Zhu, Z., Ajani, P. A., Anazodo, U. C., Bagloee, S. A., Bail, K., Bar, I., Bathelt, J., Benkeser, D., Bernier, M. L., Blanchard, A. M., Boakye, D. W., Bonatsos, V., Boon, M. H., Bouboulis, G., Bromfield, E., Brown, J., Bul, K. C. M., Burton, K. J., Butkowski, E. G., Carroll, G., Chao, F., Charrier, E. E., Chen, Y. -C., Chenguang, Choi, J. R., Christoffersen, T., Comel, J. C., Cosse, C., Cui, Y., van Dessel, P., Dhaval, Diodato, D., Duffey, M., Dutt, A., Egea, L. G., El-Said, M., Faye, M., Fernandez-Fernandez, B., Foley, K. G., Founou, L. L., Fu, F., Gadelkareem, R. A., Galimov, E., Garip, G., Gemmill, A., Gouil, Q., Grey, J., Gridneva, Z., Grothe, M. J., Grebert, T., Guerrero, F., Guignard, L., Haenssgen, M. J., Hasler, D., Holgate, J. Y., Huang, A., Hulse-Kemp, A. M., Jean-Quartier, C., Jeon, S. -M., Jia, Y., Jutzeler, C., Kalatzis, P., Karim, M., Karsay, K., Keitel, A., Kempe, A., Keown, J. R., Khoo, C. M., Khwaja, N., Kievit, R. A., Kosanic, S., Koutoukidis, D. A., Kramer, P., Kumar, D., Kirag, N., Lanza, G., Le, T. D., Leem, J. W., Leightley, D., Leite, A., Lercher, L., Li, Y., Lim, R., Lima, L. R. A., Lin, L., Ling, T., Liu, Y., Liu, Z., Lu, Y., Lum, F. M., Luo, H., Machhi, J., Macleod, A., Macwan, I., Madala, H. R., Madani, N., de Maio, N., Makowiecki, K., Mallinson, D. J., Margelyte, R., Maria, C., Markonis, Y., Marsili, L., Mavoa, S., Mcwilliams, L., Megersa, M., Souto-Maior, C., Menichetti, J., Mercieca-Bebber, R., Miller, J. J., Minde, D. -P. M., Minges, A., Mishra, E., Mishra, V. R., Moores, C., Morrice, N., Moskalensky, A. E., Navarin, N., Negera, E., Nolet, P., Nordberg, A., Norden, R., Nowicki, J. P., Olova, N., Olszewski, P., Onzima, R., Pan, C. -L., Park, C., Park, D. I., Park, S., Patil, C. D., Pedro, S. A., Perry, S. R., Peter, J., Peterson, B. M., Pezzuolo, A., Pozdnyakov, I., Qian, S., Qin, L., Rafe, A., Raote, I., Raza, A., Rebl, H., Refai, O., Regan, T., Richa, T., Richardson, M. F., Robinson, K. R., Rossoni, L., Rouet, R., Safaei, S., Schneeberger, P. H. H., Schwotzer, D., Sebastian, A., Selinski, J., Seltmann, S., Sha, F., Shalev, N., Shang, J. -L., Singer, J., Singh, M., Smith, T., Solomon-Moore, E., Song, L., Soraggi, S., Stanley, R., Steckhan, N., Strobl, F., Subissi, L., Supriyanto, I., Surve, C. R., Suzuki, T., Syme, C., Sorelius, K., Tang, Y., Tantawy, M., Tennakoon, S., Teseo, S., Toelzer, C., Tomov, N., Tovar, M., Tran, L., Tripathi, S., Tuladhar, A. M., Ukubuiwe, A. C., Ung, C. O. L., Valgepea, K., Vatanparast, H., Vidal, A., Wang, Q., Watari, R., Webster, R., Wei, J., Wibowo, D., Wingenbach, T. S. H., Xavier, R. M., Xiao, S., Xiong, P., Xu, S., Yao, R., Yao, W., Yin, Q., Zaitsu, M., Zeineb, Z., Zhan, X. -Y., Zhang, R., Zhang, W., Zheng, S., Zhou, B., Ahmad, H., Akinwumi, S. A., Albery, G. F., Alhowimel, A., Ali, J., Alshehri, M., Alsuhaibani, M., Anikin, A., Azubuike, S. O., Bach-Mortensen, A., Baltiansky, L., Bartas, M., Belachew, K. Y., Bhardwaj, V., Binder, K., Bland, N. S., Boah, M., Bullen, B., Calabro', Giovanna Elisa, Callahan, T. J., Cao, B., Chalmers, K., Chang, W., Che, Z., Chen, A. T. Y., Chen, Z., Choi, Y., Chowdhury, M. A. K., Christensen, M. R., Cooke, R. S. C., Cottini, M., Covington, N. V., Cunningham, C., Delarocque, J., Devos, L., Dhar, A. R., Ding, K. -F., Dong, K., Dong, Z., Dreyer, N., Ekstrand, C., Fardet, T., Feleke, B. E., Feurer, T., Freitas, A., Gao, T., Gebremedhin, Giganti, F., Grabowski, P., Guerra-Mora, J. R., Guo, C., Guo, X., Gupta, H., He, S., Heijne, M., Heinemann, S., Hogrebe, A., Huang, Z., Iskander-Rizk, S., Iyer, L. M., Jahan, Y., James, A. S., Joel, E., Joffroy, B., Jegousse, C., Kambondo, G., Karnati, P., Kaya, C., Ke, A., Kelly, D., Kickert, R., Kidibule, P. E., Kieselmann, J. P., Kim, H. J., Kitazawa, T., Lamberts, A., Liang, H., Linn, S. N., Litfin, T., Liusuo, W., Lygirou, V., Mahato, A. K., Mai, Z. -M., Major, R. W., Mali, S., Mallis, P., Mao, W., Marvin-Dowle, K., Mason, L. D., Merideth, B., Merino-Plaza, M. J., Merlaen, B., Messina, R., Mishra, A. K., Muhammad, J., Musinguzi, C., Nanou, A., Naqash, A., Nguyen, J. T., Nguyen, T. T. H., Ni, D., Nida, Notcovich, S., Ohst, B., Ollivier, Q. R., Osses, D. F., Peng, X., Plantinga, A., Pulia, M., Rafiq, M., Raman, A., Raucher-Chene, Rawski, R., Ray, A., Razak, L. A., Rudolf, K., Rusch, P., Sadoine, M. L., Schmidt, A., Schurr, R., Searles, S., Sharma, S., Sheehan, B., Shi, C., Shohayeb, B., Sommerlad, A., Strehlow, J., Sun, X., Sundar, R., Taherzadeh, G., Tahir, N. D. M., Tang, J., Testa, J., Tian, Z., Tingting, Q., Verheijen, G. P., Vickstrom, C., Wang, T., Wang, X., Wang, Z., Wei, P., Wilson, A., Wyart, Yassine, A. -A., Yousefzadeh, A., Zare, A., Zeng, Z., Zhang, H., Zhou, J., Zhu, D., Adamo, V., Adeyemo, A. A., Aggelidou, M., Al-Owaifeer, A. M., Al-Riyami, A. Z., Alzghari, S. K., Andersen, V., Angus, K., Asaduzzaman, M., Asady, H., Ato, D., Bai, X., Baines, R. L., Ballantyne, M., Ban, B., Beck, J., Ben-Nafa, W., Black, E., Blancher, A., Blankstein, R., Bodagh, N., Borges, P., Brooks, A., Brox-Ponce, J., Brunetti, A., Canham, C. D., Carninci, P., Carvajal, R., Chang, S. C., Chao, J., Chatterjee, P., Chen, L., Chhatriwalla, A. K., Chikowe, I., Chuang, T. -J., Collevatti, R. G., Cornejo, D. A. V., Cuenda, A., Dao, M., Dauga, D., Deng, Z., Devkota, K., Doan, L. V., Elewa, Y. H. A., Fan, D., Faruk, M., Feifei, S., Ferguson, T. S., Fleres, F., Foster, E. J., Foster, S., Furer, T., Gao, Y., Garcia-Rivera, E. J., Gazdar, A., George, R. B., Ghosh, S., Gianchecchi, E., Gleason, J. M., Hackshaw, A., Hall, A., Hall, R., Harper, P., Hogg, W. E., Huang, G., Hunter, K. E., Ijzerman, A. P., Jesus, C., Jian, G., Lewis, J. S., Kanj, S. S., Kaur, H., Kheir, F., Kichatova, V. S., Kiyani, M., Klein, R., Kovesi, T., Kraschnewski, J. L., Kumar, A. P., Labutin, D., Lazo-Langner, A., Leclercq, G., Li, M., Li, Q., Li, T., Liao, W. -T., Liao, Z. -Y., Lin, J., Lizer, J., Lobreglio, G., Lowies, C., Lu, C., Majeed, H., Martin, A., Martinez-Sobrido, L., Meresh, E., Middelveen, M., Mohebbi, A., Mota, J., Mozaheb, Z., Muyaya, L., Nandhakumar, A., Ng, S. H. X., Obeidat, M., Oh, D. -H., Owais, M., Pace-Asciak, P., Panwar, A., Patterson, C., Penagos-Tabaree, F., Pianosi, P. T., Pinzi, V., Pridans, C., Psaroulaki, A., Pujala, R. K., Pulido-Arjona, L., Qi, P. -F., Rahman, P., Rai, N. K., Rassaf, T., Refardt, J., Ricciardi, Walter, Riess, O., Rovas, A., Sacks, F. M., Saleh, S., Sampson, C., Schmutz, A., Sepanski, R., Sharma, N., Spearman, P., Subramaniapillai, M., Swali, R., Tan, C. M., Tellechea, J. I., Thomas, L. -M., Tong, X., Vavvas, D. G., Veys, R., Vitriol, V., Wang, H. -D., Waugh, J., Webb, S. A., Williams, B. A., Workman, A. D., Xiang, T., Xie, L. -X., Xu, T., Yang, C., Yoon, J. G., Yuan, C. M., Zaritsky, A., Zhao, H., Zuckerman, H., Lyu, R., Pullan, W., Calabro G. E. (ORCID:0000-0003-0259-3797), and Ricciardi W. (ORCID:0000-0002-5655-688X)
- Abstract
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science.
- Published
- 2019
40. IDconverter and IDClight: Conversion and annotation of gene and protein IDs
- Author
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Díaz-Uriarte Ramón, Cañada Andrés, Yankilevich Patricio, and Alibés Andreu
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background Researchers involved in the annotation of large numbers of gene, clone or protein identifiers are usually required to perform a one-by-one conversion for each identifier. When the field of research is one such as microarray experiments, this number may be around 30,000. Results To help researchers map accession numbers and identifiers among clones, genes, proteins and chromosomal positions, we have designed and developed IDconverter and IDClight. They are two user-friendly, freely available web server applications that also provide additional functional information by mapping the identifiers on to pathways, Gene Ontology terms, and literature references. Both tools are high-throughput oriented and include identifiers for the most common genomic databases. These tools have been compared to other similar tools, showing that they are among the fastest and the most up-to-date. Conclusion These tools provide a fast and intuitive way of enriching the information coming out of high-throughput experiments like microarrays. They can be valuable both to wet-lab researchers and to bioinformaticians.
- Published
- 2007
- Full Text
- View/download PDF
41. Análisis de la expresión diferencial de genes celulares luego de la infección por Adenovirus 7h por técnicas de bioarrays
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P.R. Barrero, P. Yankilevich, R.A. Diez, and A.S. Mistchenko
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Infectious and parasitic diseases ,RC109-216 ,Microbiology ,QR1-502 - Published
- 2006
42. Coupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma.
- Author
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Manzi, Malena, Palazzo, Martín, Knott, María Elena, Beauseroy, Pierre, Yankilevich, Patricio, Giménez, María Isabel, and Monge, María Eugenia
- Published
- 2021
- Full Text
- View/download PDF
43. Thiopurine 6TG treatment increases tumor immunogenicity and response to immune checkpoint blockade
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Nazerai, Loulieta, Willis, Shona Caroline, Yankilevich, Patricio, Di Leo, Luca, Bosisio, Francesca Maria, Frias, Alex, Bertolotto, Corine, Nersting, Jacob, Thastrup, Maria, Buus, Soren, Thomsen, Allan Randrup, Nielsen, Morten, Rohrberg, Kristoffer Staal, Schmiegelow, Kjeld, and De Zio, Daniela
- Abstract
ABSTRACTImmune-checkpoint inhibitors (ICI) are highly effective in reinvigorating T cells to attack cancer. Nevertheless, a large subset of patients fails to benefit from ICI, partly due to lack of the cancer neoepitopes necessary to trigger an immune response. In this study, we used the thiopurine 6-thioguanine (6TG) to induce random mutations and thus increase the level of neoepitopes presented by tumor cells. Thiopurines are prodrugs which are converted into thioguanine nucleotides that are incorporated into DNA (DNA-TG), where they can induce mutation through single nucleotide mismatching. In a pre-clinical mouse model of a mutation-low melanoma cell line, we demonstrated that 6TG induced clinical-grade DNA-TG integration resulting in an improved tumor control that was strongly T cell dependent. 6TG exposure increased the tumor mutational burden, without affecting tumor cell proliferation and cell death. Moreover, 6TG treatment re-shaped the tumor microenvironment by increasing T and NK immune cells, making the tumors more responsive to immune-checkpoint blockade. We further validated that 6TG exposure improved tumor control in additional mouse models of melanoma. These findings have paved the way for a phase I/II clinical trial that explores whether treatment with thiopurines can increase the proportion of otherwise treatment-resistant cancer patients who may benefit from ICI therapy (NCT05276284).
- Published
- 2023
- Full Text
- View/download PDF
44. Prevalencia de la caries dental en escolares de nivel primario de una región metropolitana de la Provincia de Córdoba, Argentina
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Elba Rosa Luna Maldonado de Yankilevich and Luis José Battellino
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cárie dentária ,índice cpo ,levantamentos de saúde bucal ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de un estudio epidemiológico del estado de la salud bucal en escolares de nivel primario (6 y 12 años) matriculados en establecimientos municipales, provinciales y privados de la Ciudad de Córdoba, Provincia de Córdoba, Argentina. En los niños de 6 años de escuelas municipales, la prevalencia de caries en elementos temporarios fue de moderada a alta, resultando baja para los escolares provinciales y privados (ceo-d = 4,44 , 2,31 y 1,27, respectivamente). Tanto en escolares municipales como provinciales, los componentes de mayor peso en el ceo-d fueron dientes cariados y con extracción indicada, en tanto que en los privados correspondió a dientes obturados. La proporción de niños sin caries activa fue de 13,6% en las escuelas municipales, 52,2% en las provinciales y 76,9% en las privadas. En los escolares de 12 años, la prevalencia de caries en dentición permanente resultó baja y comparable en los tres grupos de escuelas, registrándose un índice CPO-D que osciló entre 1,85 (municipales) y 2,59 (privados). Para ambas edades, las necesidades de tratamiento odontológico fueron elevadas en las tres poblaciones escolares. Se concluye que los niveles de salud dental alcanzados por los escolares municipales y provinciales a la edad de 12 años deben atribuirse principalmente al impacto producido por la aplicación de medidas preventivas, cuya eficiencia podría ser aumentada si se orientaran a atender edades más tempranas, sobre todo en las poblaciones de mayor riesgo.
45. Distribución de la caries dental en niños preescolares en una región urbana, Argentina, 1992
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Elba Rosa Luna Maldonado de Yankilevich, Susana Tereza Dorronsoro de Cattoni, Lila Susana Cornejo, and Luis José Battellino
- Subjects
cárie dentária ,levantamentos de saúde bucal ,índice cpo ,Public aspects of medicine ,RA1-1270 - Abstract
Se describen los resultados de una investigación desarollada sobre una muestra de 1.115 preescolares (5 años) de jardines de infantes de la Ciudad de Córdoba (Argentina), destinada a establecer la prevalencia y distribución de la caries dental conforme a su nivel económicosocial. El estudio reveló que, respecto a 1973, la prevalencia de caries disminuyó el 55,0%, en tanto que la proporción de niños con dientes sanos fue mayor en el 26,7%. La frecuencia y severidad de la caries aumentó a medida que descendía la ubicación social del niño. En el nivel económicosocial más alto (NES I = burguesías empresarial y gerencial), los índices de caries fueron significativamente menores que en el nivel económicosocial más bajo (NES III = proletariado típico, proletariado no típico y subproletariado): ceo-d de 0,8 y 2,7 y ceo-s de 0,9 y 4,9, respectivamente. En el NES III, los principales componentes del ceo-d fueron dientes cariados y con extracción indicada, mientras que en el NES I fueron los dientes obturados. La proporción de niños sin experiencia de caries fue del 63,1% en el NES I y del 11,5% en el NES III. Inversamente, el índice de salud bucal resultó más alto en el NES I (8,8) que en el NES III (5,1). El gasto demandado por niño para el tratamiento restaurativo es aproximadamente dos veces y media más alto en el NES III que en el NES I. Considerando toda la muestra, el gasto en el NES III resultaría más de diez veces superior al del NES I. Se concluye que la programación de la atención odontológica privilegiando a los niños del NES III, que son los de mayor riesgo de enfermar, puede contribuir a contrarrestar los desniveles en el estado de salud bucal.
46. Evaluación del estado de salud bucodental en preescolares: estudio epidemiológico longitudinal (1993-1994), Córdoba, Argentina
- Author
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Luis José Battellino, Lila Susana Cornejo, Susana Tereza Dorronsoro de Cattoni, Elba Rosa Luna Maldonado de Yankilevich, Silvia Edith Calamari, Ana Isabel Azcura, and Carolina Virga
- Subjects
dental health surveys ,dental caries ,epidemiology ,dmf index ,Public aspects of medicine ,RA1-1270 - Abstract
Se realizó un estudio longitudinal de un año de duración en una muestra (n = 820) de la población preescolar de 4 años de la Ciudad de Córdoba, Argentina, para establecer la participación de diversas variables en la incidencia de caries. Los índices ceo-d, ceo-s, de higiene oral y de salud bucodental, como también las tasas de incidencia y los riesgos relativos de caries estuvieron inversamente relacionados con el Nivel Económicosocial (NES) de los niños. En los preescolares del NES III (proletariado típico, proletariado no típico y subproletariado), el riesgo relativo de experimentar caries fue casi cinco veces mayor (RR = 4,9) que en el NES I (burguesías empresarial y gerencial). En el NES I, la mayoría de las nuevas lesiones se localizaron en las superficies lisas (61,2%), mientras que en el NES III afectaron predominantemente las superficies oclusales de los molares (66,3%). El consumo diario de azúcares fue mayor en los niños del NES III, pero la experiencia de caries se correlacionó débilmente con la cantidad o frecuencia de ingesta de estos carbohidratos (r = 0,40 y 0,52, respectivamente). No se registraron diferencias significativas interniveles en los parámetros bioquímicos salivales analizados. El cepillado dental asistido y las aplicaciones tópicas fluoruradas disminuyeron fuertemente la incidencia de caries en los niños del NES III, reduciendo las correspondientes tasas a valores muy próximos a los del NES I (0,31, 0,23 y 0,22 vs. 0,21). Se concluye que los niños del NES III, por su susceptibilidad a la caries, deberían ser asistidos precozmente con medidas preventivas eficaces, como lo son el cepillado dental asistido y las aplicaciones tópicas fluoruradas.
47. OmicsHub Proteomics Software Tool
- Author
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Lloret, T., Carmona Tamayo, J. L., Sierra Cantero, J. M., Carazo, J. M., Couto, E. González, and Yankilevich, P.
- Subjects
Poster Session Abstracts - Abstract
RP-6
- Published
- 2010
48. Data Management, Analysis, Standardization and Reproducibility in a ProteoRed Multicentric Quantitative Proteomics Study with the OmicsHub Proteomics Software Tool
- Author
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Couto, E. González, Lloret, T., de Bartolomé Izquierdo, S. Martínez, Campos, A., Canals, F., Carazo, J.M., Albar, J.P., and Yankilevich, P.
- Subjects
Poster Session Abstracts - Abstract
RP-47
- Published
- 2010
49. Whole genome analysis of the action of interferon-beta
- Author
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Kauffman, M.A., primary, Yankilevich, P., additional, Barrero, P., additional, Bello, R., additional, Marangunich, L., additional, Vidal, A., additional, Criscuolo, M., additional, Diez, R.A., additional, and Prync, A. Sterin, additional
- Published
- 2009
- Full Text
- View/download PDF
50. Bizionia argentinensis sp. nov., isolated from surface marine water in Antarctica
- Author
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Bercovich, A., primary, Vazquez, S. C., additional, Yankilevich, P., additional, Coria, S. H., additional, Foti, M., additional, Hernandez, E., additional, Vidal, A., additional, Ruberto, L., additional, Melo, C., additional, Marenssi, S., additional, Criscuolo, M., additional, Memoli, M., additional, Arguelles, M., additional, and Mac Cormack, W. P., additional
- Published
- 2008
- Full Text
- View/download PDF
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