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34 results on '"Skewes-Cox, Peter"'

1. Tissue damage during acuteTrypanosoma cruziinfection is associated with reduced reparative regulatory T cell response and can be attenuated by early interleukin-33 administration

Author

Boccardo, Santiago, primary, Rodriguez, Constanza, additional, Furlan, Cintia L. Araujo, additional, Abrate, Carolina P., additional, Almada, Laura, additional, Giménez, Camila M. S., additional, Concepción, Manuel A. Saldivia, additional, Skewes-Cox, Peter, additional, Rao, Srinivasa P. S., additional, Montes, Carolina L., additional, Gruppi, Adriana, additional, and Rodríguez, Eva V. Acosta, additional

Published
2024
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2. Profile hidden Markov models for the detection of viruses within metagenomic sequence data.

Author

Skewes-Cox, Peter, Sharpton, Thomas J, Pollard, Katherine S, and DeRisi, Joseph L

Subjects
Humans, Viruses, Markov Chains, Sequence Alignment, Computational Biology, Software, Metagenomics, General Science & Technology
Abstract

Rapid, sensitive, and specific virus detection is an important component of clinical diagnostics. Massively parallel sequencing enables new diagnostic opportunities that complement traditional serological and PCR based techniques. While massively parallel sequencing promises the benefits of being more comprehensive and less biased than traditional approaches, it presents new analytical challenges, especially with respect to detection of pathogen sequences in metagenomic contexts. To a first approximation, the initial detection of viruses can be achieved simply through alignment of sequence reads or assembled contigs to a reference database of pathogen genomes with tools such as BLAST. However, recognition of highly divergent viral sequences is problematic, and may be further complicated by the inherently high mutation rates of some viral types, especially RNA viruses. In these cases, increased sensitivity may be achieved by leveraging position-specific information during the alignment process. Here, we constructed HMMER3-compatible profile hidden Markov models (profile HMMs) from all the virally annotated proteins in RefSeq in an automated fashion using a custom-built bioinformatic pipeline. We then tested the ability of these viral profile HMMs ("vFams") to accurately classify sequences as viral or non-viral. Cross-validation experiments with full-length gene sequences showed that the vFams were able to recall 91% of left-out viral test sequences without erroneously classifying any non-viral sequences into viral protein clusters. Thorough reanalysis of previously published metagenomic datasets with a set of the best-performing vFams showed that they were more sensitive than BLAST for detecting sequences originating from more distant relatives of known viruses. To facilitate the use of the vFams for rapid detection of remote viral homologs in metagenomic data, we provide two sets of vFams, comprising more than 4,000 vFams each, in the HMMER3 format. We also provide the software necessary to build custom profile HMMs or update the vFams as more viruses are discovered (http://derisilab.ucsf.edu/software/vFam).

Published
2014

3. Molecular Insights into the Biosynthesis of Guadinomine: A Type III Secretion System Inhibitor

Author

Holmes, Tracy C, May, Aaron E, Zaleta-Rivera, Kathia, Ruby, J Graham, Skewes-Cox, Peter, Fischbach, Michael A, DeRisi, Joseph L, Iwatsuki, Masato, O̅mura, Satoshi, and Khosla, Chaitan

Subjects
Engineering, Chemical Sciences, Emerging Infectious Diseases, Infectious Diseases, Genetics, Biotechnology, Biodefense, Prevention, Foodborne Illness, Vaccine Related, Rare Diseases, Aetiology, 2.2 Factors relating to the physical environment, Infection, Bacterial Secretion Systems, Dipeptides, Imidazolidines, Molecular Conformation, Streptomyces, General Chemistry, Chemical sciences
Abstract

Guadinomines are a recently discovered family of anti-infective compounds produced by Streptomyces sp. K01-0509 with a novel mode of action. With an IC(50) of 14 nM, guadinomine B is the most potent known inhibitor of the type III secretion system (TTSS) of Gram-negative bacteria. TTSS activity is required for the virulence of many pathogenic Gram-negative bacteria including Escherichia coli , Salmonella spp., Yersinia spp., Chlamydia spp., Vibrio spp., and Pseudomonas spp. The guadinomine (gdn) biosynthetic gene cluster has been cloned and sequenced and includes 26 open reading frames spanning 51.2 kb. It encodes a chimeric multimodular polyketide synthase, a nonribosomal peptide synthetase, along with enzymes responsible for the biosynthesis of the unusual aminomalonyl-acyl carrier protein extender unit and the signature carbamoylated cyclic guanidine. Its identity was established by targeted disruption of the gene cluster as well as by heterologous expression and analysis of key enzymes in the biosynthetic pathway. Identifying the guadinomine gene cluster provides critical insight into the biosynthesis of these scarce but potentially important natural products.

Published
2012

4. Virus identification in unknown tropical febrile illness cases using deep sequencing.

Author

Yozwiak, Nathan L, Skewes-Cox, Peter, Stenglein, Mark D, Balmaseda, Angel, Harris, Eva, and DeRisi, Joseph L

Subjects
Serum, Humans, Viruses, Virus Diseases, Fever of Unknown Origin, Microarray Analysis, Sequence Analysis, DNA, Computational Biology, Virology, Tropical Climate, Molecular Sequence Data, Adolescent, Child, Child, Preschool, Infant, Nicaragua, Female, Male, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Preschool, Biological Sciences, Medical and Health Sciences, Tropical Medicine
Abstract

Dengue virus is an emerging infectious agent that infects an estimated 50-100 million people annually worldwide, yet current diagnostic practices cannot detect an etiologic pathogen in ∼40% of dengue-like illnesses. Metagenomic approaches to pathogen detection, such as viral microarrays and deep sequencing, are promising tools to address emerging and non-diagnosable disease challenges. In this study, we used the Virochip microarray and deep sequencing to characterize the spectrum of viruses present in human sera from 123 Nicaraguan patients presenting with dengue-like symptoms but testing negative for dengue virus. We utilized a barcoding strategy to simultaneously deep sequence multiple serum specimens, generating on average over 1 million reads per sample. We then implemented a stepwise bioinformatic filtering pipeline to remove the majority of human and low-quality sequences to improve the speed and accuracy of subsequent unbiased database searches. By deep sequencing, we were able to detect virus sequence in 37% (45/123) of previously negative cases. These included 13 cases with Human Herpesvirus 6 sequences. Other samples contained sequences with similarity to sequences from viruses in the Herpesviridae, Flaviviridae, Circoviridae, Anelloviridae, Asfarviridae, and Parvoviridae families. In some cases, the putative viral sequences were virtually identical to known viruses, and in others they diverged, suggesting that they may derive from novel viruses. These results demonstrate the utility of unbiased metagenomic approaches in the detection of known and divergent viruses in the study of tropical febrile illness.

Published
2012

5. Validation of a Diagnostic Microarray for Human Papillomavirus: Coverage of 102 Genotypes

Author

Arron, Sarah Tuttleton, Skewes-Cox, Peter, H., Phong, Dybbro, Eric, Da Costa, Maria, Palefsky, Joel M, and DeRisi, Joseph L

Subjects
Biochemistry and Cell Biology, Biological Sciences, Sexually Transmitted Infections, HIV/AIDS, Cancer, Infectious Diseases, Genetics, Good Health and Well Being, Biochemistry and cell biology, Medicinal and biomolecular chemistry
Abstract

Papillomaviruses have been implicated in a variety of human diseases ranging from common warts to invasive carcinoma of the anogenital mucosa. Existing assays for genotyping human papillomavirus are restricted to a small number of types. Here, we present a comprehensive, accurate microarray strategy for detection and genotyping of 102 human papillomavirus types and validate its use in a panel of 91 anal swabs. This array has equal performance to traditional dot blot analysis with the benefits of added genotype coverage and the ability to calibrate readout over a range of sensitivity or specificity values.

Published
2011

7. Supplementary figures from Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-Based Subtypes

Author

Zhang, Li, primary, MacIsaac, Kenzie D., primary, Zhou, Ting, primary, Huang, Pei-Yu, primary, Xin, Chunlin, primary, Dobson, Jason R., primary, Yu, Kun, primary, Chiang, Derek Y., primary, Fan, Yue, primary, Pelletier, Marc, primary, Wang, Yan, primary, Jaeger, Savina, primary, Krishnamurthy Radhakrishnan, Viveksagar, primary, JeBailey, Lellean, primary, Skewes-Cox, Peter, primary, Zhang, Jing, primary, Fang, Wenfeng, primary, Huang, Yan, primary, Zhao, Hongyun, primary, Zhao, Yuanyuan, primary, Li, En, primary, Peng, Bin, primary, Huang, Alan, primary, Dranoff, Glenn, primary, Hammerman, Peter S., primary, Engelman, Jeffrey, primary, Bitter, Hans, primary, Zeng, Yi-Xin, primary, and Yao, Yao, primary

Published
2023
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8. Data from Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-Based Subtypes

Author

Zhang, Li, primary, MacIsaac, Kenzie D., primary, Zhou, Ting, primary, Huang, Pei-Yu, primary, Xin, Chunlin, primary, Dobson, Jason R., primary, Yu, Kun, primary, Chiang, Derek Y., primary, Fan, Yue, primary, Pelletier, Marc, primary, Wang, Yan, primary, Jaeger, Savina, primary, Krishnamurthy Radhakrishnan, Viveksagar, primary, JeBailey, Lellean, primary, Skewes-Cox, Peter, primary, Zhang, Jing, primary, Fang, Wenfeng, primary, Huang, Yan, primary, Zhao, Hongyun, primary, Zhao, Yuanyuan, primary, Li, En, primary, Peng, Bin, primary, Huang, Alan, primary, Dranoff, Glenn, primary, Hammerman, Peter S., primary, Engelman, Jeffrey, primary, Bitter, Hans, primary, Zeng, Yi-Xin, primary, and Yao, Yao, primary

Published
2023
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9. Supplementary tables from Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-Based Subtypes

Author

Zhang, Li, primary, MacIsaac, Kenzie D., primary, Zhou, Ting, primary, Huang, Pei-Yu, primary, Xin, Chunlin, primary, Dobson, Jason R., primary, Yu, Kun, primary, Chiang, Derek Y., primary, Fan, Yue, primary, Pelletier, Marc, primary, Wang, Yan, primary, Jaeger, Savina, primary, Krishnamurthy Radhakrishnan, Viveksagar, primary, JeBailey, Lellean, primary, Skewes-Cox, Peter, primary, Zhang, Jing, primary, Fang, Wenfeng, primary, Huang, Yan, primary, Zhao, Hongyun, primary, Zhao, Yuanyuan, primary, Li, En, primary, Peng, Bin, primary, Huang, Alan, primary, Dranoff, Glenn, primary, Hammerman, Peter S., primary, Engelman, Jeffrey, primary, Bitter, Hans, primary, Zeng, Yi-Xin, primary, and Yao, Yao, primary

Published
2023
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12. Design of potent antimalarials with generative chemistry

Author

Godinez, William J., primary, Ma, Eric J., additional, Chao, Alexander T., additional, Pei, Luying, additional, Skewes-Cox, Peter, additional, Canham, Stephen M., additional, Jenkins, Jeremy L., additional, Young, Joseph M., additional, Martin, Eric J., additional, and Guiguemde, W. Armand, additional

Published
2022
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14. JAEGER – Hunting for Antimalarials with Generative Chemistry

Author

Godinez, William, primary, Ma, Eric, additional, Chao, Alexander, additional, Pei, Luying, additional, Skewes-Cox, Peter, additional, Canham, Stephen, additional, Jenkins, Jeremy, additional, Young, Joseph, additional, Martin, Eric, additional, and Guiguemde, Armand, additional

Published
2021
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15. AI-based recommendations for drug discovery

Author

ROHALL, STEVEN, primary, Jansen, Johanna, primary, Lindvall, Mika, primary, Martin, Eric, primary, Stiefl, Nikolaus, primary, Gora, Jacob, primary, Auch, Lydia, primary, Shirley, William, primary, Lu, Yipin, primary, Pancost-Heidebrecht, Margaret, primary, Skewes-Cox, Peter, primary, and Gable, Jonathan, primary

Published
2020
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16. Ten simple rules to power drug discovery with data science

Author

Ferrero, Enrico, primary, Brachat, Sophie, additional, Jenkins, Jeremy L., additional, Marc, Philippe, additional, Skewes-Cox, Peter, additional, Altshuler, Robert C., additional, Gubser Keller, Caroline, additional, Kauffmann, Audrey, additional, Sassaman, Erik K., additional, Laramie, Jason M., additional, Schoeberl, Birgit, additional, Borowsky, Mark L., additional, and Stiefl, Nikolaus, additional

Published
2020
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19. Recovery of divergent avian bornaviruses from cases of proventricular dilatation disease: Identification of a candidate etiologic agent

Author

Greninger Alexander, Farnoushi Yigal, Mechani Sara, Lublin Avishai, Chiu Charles Y, Sorber Katherine, Fischer Kael, Clubb Susan, Skewes-Cox Peter, Gancz Ady, Kistler Amy L, Wen Christopher C, Karlene Scott B, Ganem Don, and DeRisi Joseph L

Subjects
Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Proventricular dilatation disease (PDD) is a fatal disorder threatening domesticated and wild psittacine birds worldwide. It is characterized by lymphoplasmacytic infiltration of the ganglia of the central and peripheral nervous system, leading to central nervous system disorders as well as disordered enteric motility and associated wasting. For almost 40 years, a viral etiology for PDD has been suspected, but to date no candidate etiologic agent has been reproducibly linked to the disease. Results Analysis of 2 PDD case-control series collected independently on different continents using a pan-viral microarray revealed a bornavirus hybridization signature in 62.5% of the PDD cases (5/8) and none of the controls (0/8). Ultra high throughput sequencing was utilized to recover the complete viral genome sequence from one of the virus-positive PDD cases. This revealed a bornavirus-like genome organization for this agent with a high degree of sequence divergence from all prior bornavirus isolates. We propose the name avian bornavirus (ABV) for this agent. Further specific ABV PCR analysis of an additional set of independently collected PDD cases and controls yielded a significant difference in ABV detection rate among PDD cases (71%, n = 7) compared to controls (0%, n = 14) (P = 0.01; Fisher's Exact Test). Partial sequence analysis of a total of 16 ABV isolates we have now recovered from these and an additional set of cases reveals at least 5 distinct ABV genetic subgroups. Conclusion These studies clearly demonstrate the existence of an avian reservoir of remarkably diverse bornaviruses and provide a compelling candidate in the search for an etiologic agent of PDD.

Published
2008
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20. Mode of Action of the Monobactam LYS228 and Mechanisms Decreasing In Vitro Susceptibility in Escherichia coli and Klebsiella pneumoniae

Author

Dean, Charles R., primary, Barkan, David T., additional, Bermingham, Alun, additional, Blais, Johanne, additional, Casey, Fergal, additional, Casarez, Anthony, additional, Colvin, Richard, additional, Fuller, John, additional, Jones, Adriana K., additional, Li, Cindy, additional, Lopez, Sara, additional, Metzger, Louis E., additional, Mostafavi, Mina, additional, Prathapam, Ramadevi, additional, Rasper, Dita, additional, Reck, Folkert, additional, Ruzin, Alexey, additional, Shaul, Jacob, additional, Shen, Xiaoyu, additional, Simmons, Robert L., additional, Skewes-Cox, Peter, additional, Takeoka, Kenneth T., additional, Tamrakar, Pramila, additional, Uehara, Tsuyoshi, additional, and Wei, Jun-Rong, additional

Published
2018
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21. JC polyoma viruria associates with protection from chronic kidney disease independently from apolipoprotein L1 genotype in African Americans

Author

Freedman, Barry I, primary, Kistler, Amy L, additional, Skewes-Cox, Peter, additional, Ganem, Don, additional, Spainhour, Mitzie, additional, Turner, Jolyn, additional, Divers, Jasmin, additional, Langefeld, Carl D, additional, Murea, Mariana, additional, Hicks, Pamela J, additional, Hemal, Ashok K, additional, Snipes, James A, additional, Zhao, Lihong, additional, Abend, Johanna R, additional, Lyles, Douglas S, additional, Ma, Lijun, additional, and Skorecki, Karl L, additional

Published
2018
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22. Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-Based Subtypes

Author

Zhang, Li, primary, MacIsaac, Kenzie D., additional, Zhou, Ting, additional, Huang, Pei-Yu, additional, Xin, Chunlin, additional, Dobson, Jason R., additional, Yu, Kun, additional, Chiang, Derek Y., additional, Fan, Yue, additional, Pelletier, Marc, additional, Wang, Yan, additional, Jaeger, Savina, additional, Krishnamurthy Radhakrishnan, Viveksagar, additional, JeBailey, Lellean, additional, Skewes-Cox, Peter, additional, Zhang, Jing, additional, Fang, Wenfeng, additional, Huang, Yan, additional, Zhao, Hongyun, additional, Zhao, Yuanyuan, additional, Li, En, additional, Peng, Bin, additional, Huang, Alan, additional, Dranoff, Glenn, additional, Hammerman, Peter S., additional, Engelman, Jeffrey, additional, Bitter, Hans, additional, Zeng, Yi-Xin, additional, and Yao, Yao, additional

Published
2017
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23. In Vitro Characterization of Human Cytomegalovirus-Targeting Therapeutic Monoclonal Antibodies LJP538 and LJP539

Author

Patel, Hetalkumar D., primary, Nikitin, Pavel, additional, Gesner, Thomas, additional, Lin, James J., additional, Barkan, David T., additional, Ciferri, Claudio, additional, Carfi, Andrea, additional, Akbarnejad Yazdi, Tahmineh, additional, Skewes-Cox, Peter, additional, Wiedmann, Brigitte, additional, Jarousse, Nadine, additional, Zhong, Weidong, additional, Feire, Adam, additional, and Hebner, Christy M., additional

Published
2016
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24. Compound Activity Prediction with Dose-Dependent Transcriptomic Profiles and Deep Learning

Author

Godinez, William J., Trifonov, Vladimir, Fang, Bin, Kuzu, Guray, Pei, Luying, Guiguemde, W. Armand, Martin, Eric J., King, Frederick J., Jenkins, Jeremy L., and Skewes-Cox, Peter

Abstract

Predicting compound activity in assays is a long-standing challenge in drug discovery. Computational models based on compound-induced gene expression signatures from a single profiling assay have shown promise toward predicting compound activity in other, seemingly unrelated, assays. Applications of such models include predicting mechanisms-of-action (MoA) for phenotypic hits, identifying off-target activities, and identifying polypharmacologies. Here, we introduce transcriptomics-to-activity transformer (TAT) models that leverage gene expression profiles observed over compound treatment at multiple concentrations to predict the compound activity in other biochemical or cellular assays. We built TAT models based on gene expression data from a RASL-seq assay to predict the activity of 2692 compounds in 262 dose–response assays. We obtained useful models for 51% of the assays, as determined through a realistic held-out set. Prospectively, we experimentally validated the activity predictions of a TAT model in a malaria inhibition assay. With a 63% hit rate, TAT successfully identified several submicromolar malaria inhibitors. Our results thus demonstrate the potential of transcriptomic responses over compound concentration and the TAT modeling framework as a cost-efficient way to identify the bioactivities of promising compounds across many assays.

Published
2024
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27. Assemblathon 1: A competitive assessment of de novo short read assembly methods

Author

Earl, Dent, primary, Bradnam, Keith, additional, St. John, John, additional, Darling, Aaron, additional, Lin, Dawei, additional, Fass, Joseph, additional, Yu, Hung On Ken, additional, Buffalo, Vince, additional, Zerbino, Daniel R., additional, Diekhans, Mark, additional, Nguyen, Ngan, additional, Ariyaratne, Pramila Nuwantha, additional, Sung, Wing-Kin, additional, Ning, Zemin, additional, Haimel, Matthias, additional, Simpson, Jared T., additional, Fonseca, Nuno A., additional, Birol, İnanç, additional, Docking, T. Roderick, additional, Ho, Isaac Y., additional, Rokhsar, Daniel S., additional, Chikhi, Rayan, additional, Lavenier, Dominique, additional, Chapuis, Guillaume, additional, Naquin, Delphine, additional, Maillet, Nicolas, additional, Schatz, Michael C., additional, Kelley, David R., additional, Phillippy, Adam M., additional, Koren, Sergey, additional, Yang, Shiaw-Pyng, additional, Wu, Wei, additional, Chou, Wen-Chi, additional, Srivastava, Anuj, additional, Shaw, Timothy I., additional, Ruby, J. Graham, additional, Skewes-Cox, Peter, additional, Betegon, Miguel, additional, Dimon, Michelle T., additional, Solovyev, Victor, additional, Seledtsov, Igor, additional, Kosarev, Petr, additional, Vorobyev, Denis, additional, Ramirez-Gonzalez, Ricardo, additional, Leggett, Richard, additional, MacLean, Dan, additional, Xia, Fangfang, additional, Luo, Ruibang, additional, Li, Zhenyu, additional, Xie, Yinlong, additional, Liu, Binghang, additional, Gnerre, Sante, additional, MacCallum, Iain, additional, Przybylski, Dariusz, additional, Ribeiro, Filipe J., additional, Yin, Shuangye, additional, Sharpe, Ted, additional, Hall, Giles, additional, Kersey, Paul J., additional, Durbin, Richard, additional, Jackman, Shaun D., additional, Chapman, Jarrod A., additional, Huang, Xiaoqiu, additional, DeRisi, Joseph L., additional, Caccamo, Mario, additional, Li, Yingrui, additional, Jaffe, David B., additional, Green, Richard E., additional, Haussler, David, additional, Korf, Ian, additional, and Paten, Benedict, additional

Published
2011
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30. Recovery of divergent avian bornaviruses from cases of proventricular dilatation disease: Identification of a candidate etiologic agent

Author

Kistler, Amy L, primary, Gancz, Ady, additional, Clubb, Susan, additional, Skewes-Cox, Peter, additional, Fischer, Kael, additional, Sorber, Katherine, additional, Chiu, Charles Y, additional, Lublin, Avishai, additional, Mechani, Sara, additional, Farnoushi, Yigal, additional, Greninger, Alexander, additional, Wen, Christopher C, additional, Karlene, Scott B, additional, Ganem, Don, additional, and DeRisi, Joseph L, additional

Published
2008
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32. In VitroCharacterization of Human Cytomegalovirus-Targeting Therapeutic Monoclonal Antibodies LJP538 and LJP539

Author

Patel, Hetalkumar D., Nikitin, Pavel, Gesner, Thomas, Lin, James J., Barkan, David T., Ciferri, Claudio, Carfi, Andrea, Akbarnejad Yazdi, Tahmineh, Skewes-Cox, Peter, Wiedmann, Brigitte, Jarousse, Nadine, Zhong, Weidong, Feire, Adam, and Hebner, Christy M.

Abstract

ABSTRACTHuman cytomegalovirus (HCMV) infection is usually benign in healthy individuals but can cause life-threatening disease in those with compromised immune systems. Approved drugs available to treat HCMV disease, including ganciclovir, cidofovir, and foscarnet, have significant toxicities that limit their use in certain patient populations. LJP538 and LJP539 are human monoclonal antibodies that are being evaluated as immunoglobulin therapeutics. The antibodies target glycoproteins gB and the gH/gL/UL128/UL130/UL131a pentameric complex, respectively. Here we present an in vitrocharacterization of these antibodies. We show that LJP538 and LJP539 are more potent than a marketed immunoglobulin at inhibiting HCMV infection of various cell lines relevant to pathogenesis. We find that LJP538 and LJP539 are active against a panel of clinical isolates in vitroand demonstrate minor-to-moderate synergy in combination. Passage of HCMV in the presence of LJP538 or LJP539 alone resulted in resistance-associated mutations that mapped to the target genes. However, no loss of susceptibility to the combination of antibodies was observed for >400 days in culture. Finally, the binding regions of LJP538 and LJP539 are conserved among clinical isolates. Taken together, these data support the use of LJP538 and LJP539 in combination for clinical trials in HCMV patients.

Published
2016
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34. Mode of Action of the Monobactam LYS228 and Mechanisms Decreasing In VitroSusceptibility in Escherichia coliand Klebsiella pneumoniae

Author

Dean, Charles R., Barkan, David T., Bermingham, Alun, Blais, Johanne, Casey, Fergal, Casarez, Anthony, Colvin, Richard, Fuller, John, Jones, Adriana K., Li, Cindy, Lopez, Sara, Metzger, Louis E., Mostafavi, Mina, Prathapam, Ramadevi, Rasper, Dita, Reck, Folkert, Ruzin, Alexey, Shaul, Jacob, Shen, Xiaoyu, Simmons, Robert L., Skewes-Cox, Peter, Takeoka, Kenneth T., Tamrakar, Pramila, Uehara, Tsuyoshi, and Wei, Jun-Rong

Published
2018
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