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1,397 results on '"FERRARI, CARLO"'

1. Chapter The Imperial Image of Theoderic: the Case of the Regisole of Pavia

Author

FERRARI, CARLO

Subjects
Early Middle Ages, Ravenna, Pavia, Theoderic, Aistulf, Regisole, thema EDItEUR::N History and Archaeology::NH History
Abstract

The contribution intends to retrace the history of Pavia’s famous equestrian statue, known as the “Regisole”, destroyed in 1796. The statue, in gilded bronze, represented a Roman emperor and was transferred from Rome to Ravenna, most likely by Theoderic. At a certain point, probably between the eighth and tenth centuries, the Regisole arrived in Pavia, even if it is difficult to establish who was responsible for that. The most logical solution is to attribute the transfer of the monument to a Lombard king, specifically to Aistulf, who conquered Ravenna in 751. It is possible to argue that by transferring the Regisole – which was believed to represent Theoderic – to the capital of the Lombard kingdom, Aistulf intended to promote an imperial image of himself, at a time when the conquest of the Exarchate raised him to the rank of “new Theoderic”.

Published
2022
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2. The Mu2e crystal and SiPM calorimeter: construction status

Author

Atanov, Nikolay, Baranov, Vladimir, Borrel, Leo, Bloise, Caterina, Budagov, Julian, Ceravol, Sergio, Cervelli, Franco, Colao, Francesco, Cordelli, Marco, Corradi, Giovanni, Davydov, Yuri, Di Falco, Stefano, Diociaiuti, Eleonora, Donati, Simone, Echenard, Bertrand, Ferrari, Carlo, Gargiulo, Ruben, Gioiosa, Antonio, Giovannella, Simona, Giusti, Valerio, Glagolev, Vladimir, Grancagnolo, Francesco, Hampai, Dariush, Happacher, Fabio, Hitlin, David, Martini, Matteo, Middleton, Sophie, Miscetti, Stefano, Morescalchi, Luca, Paesani, Daniele, Pasciuto, Daniele, Pedreschi, Elena, Porter, Frank, Raffaelli, Fabrizio, Saputi, Alessandro, Sarra, Ivano, Spinella, Franco, Taffara, Alessandra, Zanetti, Anna Maria, and Zhu, Ren-Yuan

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Mu2e experiment at Fermilab searches for the neutrino-less conversion of a negative muon into an electron, with a distinctive signature of a mono-energetic electron with energy of 104.967 MeV. The calorimeter is made of two disks of pure CsI crystals, each read out by two custom large area UV-extended SiPMs. It plays a fundamental role in providing excellent particle identification capabilities and an online trigger filter while improving the track reconstruction, requiring better than 10% energy and 500 ps timing resolutions for 100 MeV electrons. In this paper, we present the status of construction and the Quality Control (QC) performed on the produced crystals and photosensors, the development of the rad-hard electronics, and the most important results of the irradiation tests. Construction of the mechanics is also reported. Status and plans for the calorimeter assembly and its first commissioning are described.

Published
2024
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3. A new mathematical model for cell motility with nonlocal repulsion from saturated areas

Author

Ferrari, Carlo Giambiagi, Guillen-Gonzalez, Francisco, Perez-Llanos, Mayte, and Suarez, Antonio

Subjects
Mathematics - Analysis of PDEs, 92C17, 92C37, 35Q92
Abstract

The main purpose of this work is the modelling of large single populations of cells under different interactions among themselves, in balance with natural random diffusion. We focus on cell-cell adhesion mechanisms for one single population confined in isolated domains. Our most relevant contribution is the proposal of a mathematical model, that includes a nonlocal saturation coefficient multiplying an appropriate nonlocal drift term, that can even induce repulsion effects from saturated areas.

Published
2024

4. Languages of Science between Western and Eastern Civilizations

Author

Ferrari, Carlo, Guidetti, Fabio, and Ombretta Tommasi, Chiara

Subjects
Translation of scientific works, early mordern China, Jesuits, Chinese philosophy, thema EDItEUR::1 Place qualifiers::1F Asia::1FP East Asia, Far East::1FPC China, thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day::3MG 17th century, c 1600 to c 1699, thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day::3ML 18th century, c 1700 to c 1799, thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day::3MN 19th century, c 1800 to c 1899, thema EDItEUR::C Language and Linguistics::CF Linguistics::CFP Translation and interpretation, thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSM Comparative literature, thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDX History of science, thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs::QRV Aspects of religion::QRVS Religious institutions and organizations::QRVS4 Religious mission and Religious Conversion
Abstract

In this volume, specialists in various fields of cultural studies investigate the ways in which scientific knowledge was transferred and disseminated throughout Eurasia between the 17th and 19th centuries. The papers highlight the intellectual effort and strategies by which scientific works were made available and understandable to audiences whose cultural background was very different from that for which they had been originally created.

Published
2024
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5. Therapeutic potential of co-signaling receptor modulation in hepatitis B

Author

Andreata, Francesco, Laura, Chiara, Ravà, Micol, Krueger, Caroline C., Ficht, Xenia, Kawashima, Keigo, Beccaria, Cristian G., Moalli, Federica, Partini, Bianca, Fumagalli, Valeria, Nosetto, Giulia, Di Lucia, Pietro, Montali, Ilaria, Garcia-Manteiga, José M., Bono, Elisa B., Giustini, Leonardo, Perucchini, Chiara, Venzin, Valentina, Ranucci, Serena, Inverso, Donato, De Giovanni, Marco, Genua, Marco, Ostuni, Renato, Lugli, Enrico, Isogawa, Masanori, Ferrari, Carlo, Boni, Carolina, Fisicaro, Paola, Guidotti, Luca G., and Iannacone, Matteo

Published
2024
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8. Profiling the risk of hepatocellular carcinoma after long-term HCV eradication in patients with liver cirrhosis in the PITER cohort

Author

Panetta, Valentina, Gaeta, Giovanni Battista, Filomia, Roberto, Coco, Barbara, Monti, Monica, Amoruso, Daniela Caterina, Madonia, Salvatore, Ieluzzi, Donatella, Taliani, Gloria, Badia, Lorenzo, Migliorino, Guglielmo Marco, Giorgini, Alessia, Masarone, Mario, Blanc, Pierluigi, Cossiga, Valentina, De Siena, Martina, Tata, Xhimi, Rumi, Maria Grazia, Chessa, Luchino, Lampertico, Pietro, Ferrari, Carlo, Gentile, Ivan, Parruti, Giustino, Baiocchi, Leonardo, Ciancio, Alessia, Invernizzi, Pietro, Federico, Alessandro, Torti, Carlo, Morsica, Giulia, Andreone, Pietro, Aghemo, Alessio, Popoli, Patrizia, Vella, Stefano, Kondili, Loreta A., Quaranta, Maria Giovanna, Cavalletto, Luisa, Calvaruso, Vincenza, Ferrigno, Luigina, D'Ambrosio, Roberta, Simonelli, Ilaria, Brancaccio, Giuseppina, Raimondo, Giovanni, Brunetto, Maurizia R., Zignego, Anna Linda, Coppola, Carmine, Iannone, Andrea, Biliotti, Elisa, Verucchi, Gabriella, Massari, Marco, Licata, Anna, Barbaro, Francesco, Persico, Marcello, Russo, Francesco Paolo, Morisco, Filomena, Pompili, Maurizio, Viganò, Mauro, Puoti, Massimo, Santantonio, Teresa, Villa, Erica, Craxì, Antonio, and Chemello, Liliana

Published
2023
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9. Deregulated intracellular pathways define novel molecular targets for HBV-specific CD8 T cell reconstitution in chronic hepatitis B

Author

Montali, Ilaria, Ceccatelli Berti, Camilla, Morselli, Marco, Acerbi, Greta, Barili, Valeria, Pedrazzi, Giuseppe, Montanini, Barbara, Boni, Carolina, Alfieri, Arianna, Pesci, Marco, Loglio, Alessandro, Degasperi, Elisabetta, Borghi, Marta, Perbellini, Riccardo, Penna, Amalia, Laccabue, Diletta, Rossi, Marzia, Vecchi, Andrea, Tiezzi, Camilla, Reverberi, Valentina, Boarini, Chiara, Abbati, Gianluca, Massari, Marco, Lampertico, Pietro, Missale, Gabriele, Ferrari, Carlo, and Fisicaro, Paola

Published
2023
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10. Natural heteroclitic-like peptides are generated by SARS-CoV-2 mutations

Author

Tiezzi, Camilla, Vecchi, Andrea, Rossi, Marzia, Cavazzini, Davide, Bolchi, Angelo, Laccabue, Diletta, Doselli, Sara, Penna, Amalia, Sacchelli, Luca, Brillo, Federica, Meschi, Tiziana, Ticinesi, Andrea, Nouvenne, Antonio, Donofrio, Gaetano, Zanelli, Paola, Benecchi, Magda, Giuliodori, Silvia, Fisicaro, Paola, Montali, Ilaria, Ceccatelli Berti, Camilla, Reverberi, Valentina, Montali, Anna, Urbani, Simona, Pedrazzi, Giuseppe, Missale, Gabriele, Telenti, Amalio, Corti, Davide, Ottonello, Simone, Ferrari, Carlo, and Boni, Carolina

Published
2023
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11. Trends in chronic hepatitis B virus infection in Italy over a 10-year period: Clues from the nationwide PITER and MASTER cohorts toward elimination

Author

Pasulo, Luisa, Coppola, Carmine, Pisano, Federica, Romano, Mariarosaria, Porcu, Carmen, Bottalico, Irene Francesca, Cossiga, Valentina, Tata, Xhimi, Sagnelli, Caterina, Pierotti, Piera, Degasperi, Elisabetta, Rosato, Valerio, Badia, Lorenzo, Ieluzzi, Dontella, Monti, Monica, Bavetta, Maria Grazia, Cavalletto, Luisa, Toniutto, Pierluigi, Fornasiere, Ezio, Colecchia, Antonio, Ferrarese, Alberto, Nardone, Gerardo, Rocco, Alba, Viganò, Mauro, Foschi, Francesco Giuseppe, Conti, Fabio, Morsica, Giulia, Salpietro, Stefania, Torti, Carlo, Costa, Chiara, Federico, Alessandro, Dallio, Marcello, Giorgini, Alessia, Anselmo, Marco, De Leo, Pasqualina, Zaltron, Serena, Cambianica, Anna, Piscaglia, Fabio, Serio, Ilaria, Schivazappa, Simona, Mastroianni, Antonio, Chidichimo, Luciana, Massari, Marco, Mazzaro, Cesare, Marrone, Aldo, D'Amore, Francesca Maria, D'Offizi, Gianpiero, Licata, Anna, Niro, Grazia Anna, Pollicino, Teresa, Aghemo, Alessio, Brancaccio, Giuseppina, Coco, Barbara, Nardi, Alessandra, Quaranta, Maria Giovanna, Tosti, Maria Elena, Ferrigno, Luigina, Cacciola, Irene, Messina, Vincenzo, Chessa, Luchino, Morisco, Filomena, Milella, Michele, Barbaro, Francesco, Ciancio, Alessia, Russo, Francesco Paolo, Coppola, Nicola, Blanc, Pierluigi, Claar, Ernesto, Verucchi, Gabriella, Puoti, Massimo, Zignego, Anna Linda, Chemello, Liliana, Madonia, Salvatore, Fagiuoli, Stefano, Marzano, Alfredo, Ferrari, Carlo, Lampertico, Pietro, Di Marco, Vito, Craxì, Antonio, Santantonio, Teresa Antonia, Raimondo, Giovanni, Brunetto, Maurizia R., Gaeta, Giovanni Battista, and Kondili, Loreta A.

Published
2023
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13. ProSPs: Protein Sites Prediction Based on Sequence Fragments

Author

Quadrini, Michela, Cavallin, Massimo, Daberdaku, Sebastian, Ferrari, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Jansen, Giorgio, editor, Pardalos, Panos M., editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2022
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14. Disentangling co-occurrence patterns in n-partite ecosystems

Author

Solé-Ribalta, Albert, Tessone, Claudio J., Ferrari, Carlo G., and Borge-Holthoefer, Javier

Subjects
Physics - Physics and Society, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Physics - Biological Physics, Quantitative Biology - Populations and Evolution
Abstract

The need to harmonise apparently irreconcilable arrangements in an ecosystem --nestedness and segregation-- has triggered so far different strategies. Methodological refinements, or the inclusion of behavioural preferences to the network dynamics offer a limited approach to the problem, since one remains constrained within a 2-dimensional view of an ecosystem, i.e. a presence-absence matrix. Here we question this partial-view paradigm, and show that nestedness and segregation may coexist across a varied range of scenarios. To do so, we rely on an upscaled representation of an ecological community as an $n$-partite hypergraph, inspired by Hutchinson's high-dimensional niche concept and the latest trends on ecological multilayer networks. This yields an inclusive description of an ecological system, for which we develop a natural extension of the definition of nestedness to larger dimensional spaces, revealing how competitive exclusion may operate regardless of a highly nested bipartite system., Comment: 11 pages, 4 figures

Published
2018

16. Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI‐5

Author

Monzon, Alexander Miguel, Carraro, Marco, Chiricosta, Luigi, Reggiani, Francesco, Han, James, Ozturk, Kivilcim, Wang, Yanran, Miller, Maximilian, Bromberg, Yana, Capriotti, Emidio, Savojardo, Castrense, Babbi, Giulia, Martelli, Pier L, Casadio, Rita, Katsonis, Panagiotis, Lichtarge, Olivier, Carter, Hannah, Kousi, Maria, Katsanis, Nicholas, Andreoletti, Gaia, Moult, John, Brenner, Steven E, Ferrari, Carlo, Leonardi, Emanuela, and Tosatto, Silvio CE

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Schizophrenia, Genetics, Brain Disorders, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Mental health, Autoantigens, Cell Cycle Proteins, Computational Biology, Databases, Genetic, Genetic Predisposition to Disease, Humans, Mutation, Missense, Neural Networks, Computer, Phenotype, Polymorphism, Single Nucleotide, bioinformatics tools, community challenge, critical assessment, effect prediction, missense mutations, variant interpretation, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

The CAGI-5 pericentriolar material 1 (PCM1) challenge aimed to predict the effect of 38 transgenic human missense mutations in the PCM1 protein implicated in schizophrenia. Participants were provided with 16 benign variants (negative controls), 10 hypomorphic, and 12 loss of function variants. Six groups participated and were asked to predict the probability of effect and standard deviation associated to each mutation. Here, we present the challenge assessment. Prediction performance was evaluated using different measures to conclude in a final ranking which highlights the strengths and weaknesses of each group. The results show a great variety of predictions where some methods performed significantly better than others. Benign variants played an important role as negative controls, highlighting predictors biased to identify disease phenotypes. The best predictor, Bromberg lab, used a neural-network-based method able to discriminate between neutral and non-neutral single nucleotide polymorphisms. The CAGI-5 PCM1 challenge allowed us to evaluate the state of the art techniques for interpreting the effect of novel variants for a difficult target protein.

Published
2019

20. STRPsearch: fast detection of structured tandem repeat proteins.

Author

Mozaffari, Soroush, Arrías, Paula Nazarena, Clementel, Damiano, Piovesan, Damiano, Ferrari, Carlo, Tosatto, Silvio C E, and Monzon, Alexander Miguel

Subjects
PROTEIN structure prediction, TANDEM repeats, CYTOSKELETAL proteins, RAPID tooling, PROTEIN models
Abstract

Motivation Structured Tandem Repeats Proteins (STRPs) constitute a subclass of tandem repeats characterized by repetitive structural motifs. These proteins exhibit distinct secondary structures that form repetitive tertiary arrangements, often resulting in large molecular assemblies. Despite highly variable sequences, STRPs can perform important and diverse biological functions, maintaining a consistent structure with a variable number of repeat units. With the advent of protein structure prediction methods, millions of 3D models of proteins are now publicly available. However, automatic detection of STRPs remains challenging with current state-of-the-art tools due to their lack of accuracy and long execution times, hindering their application on large datasets. In most cases, manual curation remains the most accurate method for detecting and classifying STRPs, making it impracticable to annotate millions of structures. Results We introduce STRPsearch, a novel tool for the rapid identification, classification, and mapping of STRPs. Leveraging manually curated entries from RepeatsDB as the known conformational space of STRPs, STRPsearch uses the latest advances in structural alignment for a fast and accurate detection of repeated structural motifs in proteins, followed by an innovative approach to map units and insertions through the generation of TM-score profiles. STRPsearch is highly scalable, efficiently processing large datasets, and can be applied to both experimental structures and predicted models. In addition, it demonstrates superior performance compared to existing tools, offering researchers a reliable and comprehensive solution for STRP analysis across diverse proteomes. Availability and implementation STRPsearch is coded in Python. All scripts and associated documentation are available from: https://github.com/BioComputingUP/STRPsearch. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Clinical features and comorbidity pattern of HCV infected migrants compared to native patients in care in Italy: A real-life evaluation of the PITER cohort

Author

Mazzaro, Cesare, Bertola, Manuela, Schioppa, Ornella, Benedetti, Antonio, Schiadà, Laura, Cucco, Monica, Giacometti, Andrea, Brescini, Laura, Castelletti, Sefora, Fiorentini, Alessandro, Angarano, Gioacchino, Milella, Michele, Di Leo, Alfredo, Rendina, Maria, D'abramo, Fulvio Salvatore, Lillo, Chiara, Iannone, Andrea, Piazzolla, Mariano, Verucchi, Gabriella, Badia, Lorenzo, Piscaglia, Fabio, Benevento, Francesca, Serio, Ilaria, Castelli, Francesco, Zaltron, Serena, Spinetti, Angiola, Odolini, Silvia, Bruno, Raffaele, Mondelli, Mario, Chessa, Luchino, Loi, Martina, Torti, Carlo, Costa, Chiara, Mazzitelli, Maria, Pisani, Vincenzo, Scaglione, Vincenzo, Trecarichi, Enrico Maria, Zignego, Anna Linda, Monti, Monica, Madia, Francesco, Blanc, Pier Luigi, Attala, Letizia, Pierotti, Piera, Salomoni, Elena, Mariabelli, Elisa, Santantonio, Teresa Antonia, Bruno, Serena Rita, Cela, Ester Marina, Bassetti, Matteo, Mazzarello, Giovanni, Alessandrini, Anna Ida, Di Biagio, Antonio, Nicolini, Laura Ambra, Raimondo, Giovanni, Filomia, Roberto, Aghemo, Alessio, Meli, Rossella, Lazzarin, Adriano, Morsica, Giulia, Salpietro, Stefania, Galli, Massimo, Fracanzani, Anna Ludovica, Fatta, Erika, Lombardi, Rosa, Lampertico, Pietro, Borghi, Marta, D'ambrosio, Roberta, Degasperi, Elisabetta, Puoti, Massimo, Baiguera, Chiara, D'amico, Federico, Vinci, Maria, Rumi, Maria Grazia, Zuin, Massimo, Giorgini, Alessia, Zermiani, Paola, Andreone, Pietro, Caraceni, Paolo, Margotti, Marzia, Guarneri, Valeria, Villa, Erica, Bernabucci, Veronica, Bristot, Laura, Paradiso, Maria Luisa, Migliorino, Guglielmo, Beretta, Ilaria, Gambaro, Alessandra, Lapadula, Giuseppe, Spolti, Anna, Soria, Alessandro, Invernizzi, Pietro, Ciaccio, Antonio, LucÀ, Martina, Malinverno, Federica, Ratti, Laura, Coppola, Carmine, Amoruso, Daniela Caterina, Pisano, Federica, Scarano, Ferdinando, Staiano, Laura, Morisco, Filomena, Cossiga, Valentina, Gentile, Ivan, Buonomo, Antonio Riccardo, Foggia, Maria, Zappulo, Emanuela, Federico, Alessandro, Dallio, Marcello, Coppola, Nicola, Sagnelli, Caterina, Martini, Salvatore, Monari, Caterina, Nardone, Gerardo, Sgamato, Costantino, Chemello, Liliana, Cavalletto, Luisa, Sterrantino, Daniela, Russo, Francesco Paolo, Zanetto, Alberto, Zanaga, Paola, Barbaro, Francesco, Brancaccio, Giuseppina, Craxì, Antonio, Petta, Salvatore, Calvaruso, Vincenza, Crapanzano, Luciano, Madonia, Salvatore, Cannizzaro, Marco, Bruno, Erica Maria, Licata, Anna, Amodeo, Simona, Capitano, Adele Rosaria, Ferrari, Carlo, Laccabue, Diletta, Negri, Elisa, Orlandini, Alessandra, Pesci, Marco, Gulminetti, Roberto, Pagnucco, Layla, Parruti, Giustino, Di Stefano, Paola, Brunetto, Maurizia Rossana, Coco, Barbara, Massari, Marco, Corsini, Romina, Garlassi, Elisa, Andreoni, Massimo, Teti, Elisabetta, Cerva, Carlotta, Baiocchi, Lorenzo, Tata, Xhimi, Grassi, Giuseppe, Gasbarrini, Antonio, Pompili, Maurizio, De Siena, Martina, Taliani, Gloria, Biliotti, Elisa, Spaziante, Martina, Persico, Marcello, Masarone, Mario, Aglitti, Andrea, Calvanese, Gemma, Anselmo, Marco, De Leo, Pasqualina, Marturano, Monica, Saracco, Giorgio Maria, Ciancio, Alessia, Ieluzzi, Donatella, Quaranta, Maria Giovanna, Ferrigno, Luigina, D'Angelo, Franca, Saracino, Annalisa, and Kondili, Loeta A.

Published
2021
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25. An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs

Author

Siminovitch, Katherine A., Hirschfield, Gideon M., Mason, Andrew, Vincent, Catherine, Xie, Gang, Zhang, Jinyi, Tang, Ruqi, Ma, Xiong, Li, Zhiqiang, Shi, Yongyong, Affronti, Andrea, Almasio, Piero L., Alvaro, Domenico, Andreone, Pietro, Andriulli, Angelo, Azzaroli, Francesco, Battezzati, Pier Maria, Benedetti, Antonio, Bragazzi, MariaConsiglia, Brunetto, Maurizia, Bruno, Savino, Calvaruso, Vincenza, Cardinale, Vincenzo, Casella, Giovanni, Cazzagon, Nora, Ciaccio, Antonio, Coco, Barbara, Colli, Agostino, Colloredo, Guido, Colombo, Massimo, Colombo, Silvia, Cristoferi, Laura, Cursaro, Carmela, Crocè, Lory Saveria, Crosignani, Andrea, D’Amato, Daphne, Donato, Francesca, Elia, Gianfranco, Fabris, Luca, Fagiuoli, Stefano, Ferrari, Carlo, Floreani, Annarosa, Galli, Andrea, Giannini, Edoardo, Grattagliano, Ignazio, Lampertico, Pietro, Lleo, Ana, Malinverno, Federica, Mancuso, Clara, Marra, Fabio, Marzioni, Marco, Massironi, Sara, Mattalia, Alberto, Miele, Luca, Milani, Chiara, Morini, Lorenzo, Morisco, Filomena, Muratori, Luigi, Muratori, Paolo, Niro, Grazia A., O’Donnell, Sarah, Picciotto, Antonio, Portincasa, Piero, Rigamonti, Cristina, Ronca, Vincenzo, Rosina, Floriano, Spinzi, Giancarlo, Strazzabosco, Mario, Tarocchi, Mirko, Tiribelli, Claudio, Toniutto, Pierluigi, Valenti, Luca, Vinci, Maria, Zuin, Massimo, Nakamura, Hitomi, Abiru, Seigo, Nagaoka, Shinya, Komori, Atsumasa, Yatsuhashi, Hiroshi, Ishibashi, Hiromi, Ito, Masahiro, Migita, Kiyoshi, Ohira, Hiromasa, Katsushima, Shinji, Naganuma, Atsushi, Sugi, Kazuhiro, Komatsu, Tatsuji, Mannami, Tomohiko, Matsushita, Kouki, Yoshizawa, Kaname, Makita, Fujio, Nikami, Toshiki, Nishimura, Hideo, Kouno, Hiroshi, Kouno, Hirotaka, Ota, Hajime, Komura, Takuya, Nakamura, Yoko, Shimada, Masaaki, Hirashima, Noboru, Komeda, Toshiki, Ario, Keisuke, Nakamuta, Makoto, Yamashita, Tsutomu, Furuta, Kiyoshi, Kikuchi, Masahiro, Naeshiro, Noriaki, Takahashi, Hironao, Mano, Yutaka, Tsunematsu, Seiji, Yabuuchi, Iwao, Shimada, Yusuke, Yamauchi, Kazuhiko, Sugimoto, Rie, Sakai, Hironori, Mita, Eiji, Koda, Masaharu, Tsuruta, Satoru, Kamitsukasa, Hiroshi, Sato, Takeaki, Masaki, Naohiko, Kobata, Tatsuro, Fukushima, Nobuyoshi, Ohara, Yukio, Muro, Toyokichi, Takesaki, Eiichi, Takaki, Hitoshi, Yamamoto, Tetsuo, Kato, Michio, Nagaoki, Yuko, Hayashi, Shigeki, Ishida, Jinya, Watanabe, Yukio, Kobayashi, Masakazu, Koga, Michiaki, Saoshiro, Takeo, Yagura, Michiyasu, Hirata, Keisuke, Tanaka, Atsushu, Takikawa, Hajime, Zeniya, Mikio, Abe, Masanori, Onji, Morikazu, Kaneko, Shuichi, Honda, Masao, Arai, Kuniaki, Arinaga-Hino, Teruko, Hashimoto, Etsuko, Taniai, Makiko, Umemura, Takeji, Joshita, Satoru, Nakao, Kazuhiko, Ichikawa, Tatsuki, Shibata, Hidetaka, Yamagiwa, Satoshi, Seike, Masataka, Honda, Koichi, Sakisaka, Shotaro, Takeyama, Yasuaki, Harada, Masaru, Senju, Michio, Yokosuka, Osamu, Kanda, Tatsuo, Ueno, Yoshiyuki, Kikuchi, Kentaro, Ebinuma, Hirotoshi, Himoto, Takashi, Yasunami, Michio, Murata, Kazumoto, Mizokami, Masashi, Kawata, Kazuhito, Shimoda, Shinji, Miyake, Yasuhiro, Takaki, Akinobu, Yamamoto, Kazuhide, Hirano, Katsuji, Ichida, Takafumi, Ido, Akio, Tsubouchi, Hirohito, Chayama, Kazuaki, Harada, Kenichi, Nakanuma, Yasuni, Maehara, Yoshihiko, Taketomi, Akinobu, Shirabe, Ken, Soejima, Yuji, Mori, Akira, Yagi, Shintaro, Uemoto, Shinji, H, Egawa, Tanaka, Tomohiro, Yamashiki, Noriyo, Tamura, Sumito, Sugawara, Yasuhiro, Kokudo, Norihiro, Juran, Brian D., Atkinson, Elizabeth J., Cheung, Angela, de Andrade, Mariza, Lazaridis, Konstantinos N., Chalasani, Naga, Luketic, Vel, Odin, Joseph, Chopra, Kapil, Baras, Aris, Horowitz, Julie, Abecasis, Goncalo, Cantor, Michael, Coppola, Giovanni, Economides, Aris, Lotta, Luca A., Overton, John D., Reid, Jeffrey G., Shuldiner, Alan, Beechert, Christina, Forsythe, Caitlin, Fuller, Erin D., Gu, Zhenhua, Lattari, Michael, Lopez, Alexander, Schleicher, Thomas D., Padilla, Maria Sotiropoulos, Toledo, Karina, Widom, Louis, Wolf, Sarah E., Pradhan, Manasi, Manoochehri, Kia, Ulloa, Ricardo H., Bai, Xiaodong, Balasubramanian, Suganthi, Barnard, Leland, Blumenfeld, Andrew, Eom, Gisu, Habegger, Lukas, Hawes, Alicia, Khalid, Shareef, Maxwell, Evan K., Salerno, William, Staples, Jeffrey C., Jones, Marcus B., Mitnaul, Lyndon J., Sturgess, Richard, Healey, Christopher, Yeoman, Andrew, Gunasekera, Anton VJ., Kooner, Paul, Kapur, Kapil, Sathyanarayana, V., Kallis, Yiannis, Subhani, Javaid, Harvey, Rory, McCorry, Roger, Rooney, Paul, Ramanaden, David, Evans, Richard, Mathialahan, Thiriloganathan, Gasem, Jaber, Shorrock, Christopher, Bhalme, Mahesh, Southern, Paul, Tibble, Jeremy A., Gorard, David A., Jones, Susan, Mells, George, Mulcahy, Victoria, Srivastava, Brijesh, Foxton, Matthew R., Collins, Carole E., Elphick, David, Karmo, Mazn, Porras-Perez, Francisco, Mendall, Michael, Yapp, Tom, Patel, Minesh, Ede, Roland, Sayer, Joanne, Jupp, James, Fisher, Neil, Carter, Martyn J., Koss, Konrad, Shah, Jayshri, Piotrowicz, Andrzej, Scott, Glyn, Grimley, Charles, Gooding, Ian R., Williams, Simon, Tidbury, Judith, Lim, Guan, Cheent, Kuldeep, Levi, Sass, Mansour, Dina, Beckley, Matilda, Hollywood, Coral, Wong, Terry, Marley, Richard, Ramage, John, Gordon, Harriet M., Ridpath, Jo, Ngatchu, Theodore, Bob Grover, Vijay Paul, Shidrawi, Ray G., Abouda, George, Corless, L., Narain, Mark, Rees, Ian, Brown, Ashley, Taylor-Robinson, Simon, Wilkins, Joy, Grellier, Leonie, Banim, Paul, Das, Debasish, Heneghan, Michael A., Curtis, Howard, Matthews, Helen C., Mohammed, Faiyaz, Aldersley, Mark, Srirajaskanthan, Raj, Walker, Giles, McNair, Alistair, Sharif, Amar, Sen, Sambit, Bird, George, Prince, Martin I., Prasad, Geeta, Kitchen, Paul, Barnardo, Adrian, Oza, Chirag, Sivaramakrishnan, Nurani N., Gupta, Prakash, Shah, Amir, Evans, Chris DJ., Saha, Subrata, Pollock, Katharine, Bramley, Peter, Mukhopadhya, Ashis, Barclay, Stephen T., McDonald, Natasha, Bathgate, Andrew J., Palmer, Kelvin, Dillon, John F., Rushbrook, Simon M., Przemioslo, Robert, McDonald, Chris, Millar, Andrew, Tai, Cheh, Mitchell, Stephen, Metcalf, Jane, Shaukat, Syed, Ninkovic, Mary, Shmueli, Udi, Davis, Andrew, Naqvi, Asifabbas, Lee, Tom JW., Ryder, Stephen, Collier, Jane, Klass, Howard, Cramp, Matthew E., Sharer, Nichols, Aspinall, Richard, Ghosh, Deb, Douds, Andrew C., Booth, Jonathan, Williams, Earl, Hussaini, Hyder, Christie, John, Mann, Steven, Thorburn, Douglas, Marshall, Aileen, Patanwala, Imran, Ala, Aftab, Maltby, Julia, Matthew, Ray, Corbett, Chris, Vyas, Sam, Singhal, Saket, Gleeson, Dermot, Misra, Sharat, Butterworth, Jeff, George, Keith, Harding, Tim, Douglass, Andrew, Mitchison, Harriet, Panter, Simon, Shearman, Jeremy, Bray, Gary, Roberts, Michael, Butcher, Graham, Forton, Daniel, Mahmood, Zahid, Cowan, Matthew, Das, Debashis, Ch’ng, Chin Lye, Rahman, Mesbah, Whatley, Gregory C.A., Wesley, Emma, Mandal, Aditya, Jain, Sanjiv, Pereira, Stephen P., Wright, Mark, Trivedi, Palak, Gordon, Fiona H., Unitt, Esther, Palejwala, Altaf, Austin, Andrew, Vemala, Vishwaraj, Grant, Allister, Higham, Andrew D., Brind, Alison, Mathew, Ray, Cox, Mark, Ramakrishnan, Subramaniam, King, Alistair, Whalley, Simon, Fraser, Jocelyn, Thomson, S.J., Bell, Andrew, Wong, Voi Shim, Kia, Richard, Gee, Ian, Keld, Richard, Ransford, Rupert, Gotto, James, Millson, Charles, Cordell, Heather J., Fryett, James J., Ueno, Kazuko, Darlay, Rebecca, Aiba, Yoshihiro, Hitomi, Yuki, Kawashima, Minae, Nishida, Nao, Khor, Seik-Soon, Gervais, Olivier, Kawai, Yosuke, Nagasaki, Masao, Tokunaga, Katsushi, Gerussi, Alessio, Carbone, Marco, Asselta, Rosanna, Ferreira, Manuel A.R., Sun, Dylan, Jones, David E., Flack, Steven, Spicer, Ann, Mulcahy, Victoria L., Byan, Jinyoung, Han, Younghun, Sandford, Richard N., Amos, Christopher I., Seldin, Michael F., Invernizzi, Pietro, Nakamura, Minoru, and Mells, George F.

Published
2021
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26. X Chromosome Contribution to the Genetic Architecture of Primary Biliary Cholangitis

Author

Walker, Erin, Xie, Gang, Mason, Andy, Myers, Robert, Peltekian, Kevork, Ghent, Cameron, Atkinson, Elizabeth, Juran, Bruce, Lazaridis, Kostas, Lu, Yue, Gu, Xiangjun, Jing, Kaiyan, Amos, Chris, Affronti, Andrea, Brunetto, Maurizia, Coco, Barbara, Spinzi, Giancarlo, Elia, Gianfranco, Ferrari, Carlo, Lleo, Ana, Muratori, Luigi, Muratori, Paolo, Portincasa, Piero, Colli, Agostino, Bruno, Savino, Colloredo, Guido, Azzaroli, Francesco, Andreone, Pietro, Bragazzi, MariaConsiglia, Alvaro, Domenico, Cardinale, Vincenzo, Cazzagon, Nora, Rigamonti, Cristina, Floreani, Annarosa, Rosina, Floriano, Ciaccio, Antonio, Cristoferi, Laura, D’Amato, Daphne, Malinverno, Federica, Mancuso, Clara, Massironi, Sara, Milani, Chiara, O’Donnell, Sarah E., Ronca, Vincenzo, Barisani, Donatella, Lampertico, Pietro, Donato, Francesca, Fagiuoli, Stefano, Almasio, Piero L., Giannini, Edoardo, Cursaro, Carmela, Colombo, Massimo, Valenti, Luca, Miele, Luca, Andriulli, Angelo, Niro, Grazia A., Grattagliano, Ignazio, Morini, Lorenzo, Casella, Giovanni, Vinci, Maria, Battezzati, Pier Maria, Crosignani, Andrea, Zuin, Massimo, Mattalia, Alberto, Calvaruso, Vincenza, Colombo, Silvia, Benedetti, Antonio, Marzioni, Marco, Galli, Andrea, Marra, Fabio, Tarocchi, Mirko, Picciotto, Antonio, Morisco, Filomena, Fabris, Luca, Crocè, Lory Saveria, Tiribelli, Claudio, Toniutto, Pierluigi, Strazzabosco, Mario, Ch’ng, Chin Lye, Rahman, Mesbah, Yapp, Tom, Sturgess, Richard, Healey, Christopher, Czajkowski, Marek, Gunasekera, Anton, Gyawali, Pranab, Premchand, Purushothaman, Kapur, Kapil, Marley, Richard, Foster, Graham, Watson, Alan, Dias, Aruna, Subhani, Javaid, Harvey, Rory, McCorry, Roger, Ramanaden, David, Gasem, Jaber, Evans, Richard, Mathialahan, Thiriloganathan, Shorrock, Christopher, Lipscomb, George, Southern, Paul, Tibble, Jeremy, Gorard, David, Palegwala, Altaf, Jones, Susan, Dawwas, Mohamed, Alexander, Graeme, Dolwani, Sunil, Prince, Martin, Foxton, Matthew, Elphick, David, Mitchison, Harriet, Gooding, Ian, Karmo, Mazn, Saksena, Sushma, Mendall, Mike, Patel, Minesh, Ede, Roland, Austin, Andrew, Sayer, Joanna, Hankey, Lorraine, Hovell, Christopher, Fisher, Neil, Carter, Martyn, Koss, Konrad, Piotrowicz, Andrzej, Grimley, Charles, Neal, David, Lim, Guan, Levi, Sass, Ala, Aftab, Broad, Andrea, Saeed, Athar, Wood, Gordon, Brown, Jonathan, Wilkinson, Mark, Gordon, Harriet, Ramage, John, Ridpath, Jo, Ngatchu, Theodore, Grover, Bob, Shaukat, Syed, Shidrawi, Ray, Abouda, George, Ali, Faiz, Rees, Ian, Salam, Imroz, Narain, Mark, Brown, Ashley, Taylor-Robinson, Simon, Williams, Simon, Grellier, Leonie, Banim, Paul, Das, Debasish, Chilton, Andrew, Heneghan, Michael, Curtis, Howard, Gess, Markus, Drake, Ian, Aldersley, Mark, Davies, Mervyn, Jones, Rebecca, McNair, Alastair, Srirajaskanthan, Raj, Pitcher, Maxton, Sen, Sambit, Bird, George, Barnardo, Adrian, Kitchen, Paul, Yoong, Kevin, Chirag, Oza, Sivaramakrishnan, Nurani, MacFaul, George, Jones, David, Shah, Amir, Evans, Chris, Saha, Subrata, Pollock, Katharine, Bramley, Peter, Mukhopadhya, Ashis, Fraser, Andrew, Mills, Peter, Shallcross, Christopher, Campbell, Stewart, Bathgate, Andrew, Shepherd, Alan, Dillon, John, Rushbrook, Simon, Przemioslo, Robert, Macdonald, Christopher, Metcalf, Jane, Shmueli, Udi, Davis, Andrew, Naqvi, Asifabbas, Lee, Tom, Ryder, Stephen D., Collier, Jane, Klass, Howard, Ninkovic, Mary, Cramp, Matthew, Sharer, Nicholas, Aspinall, Richard, Goggin, Patrick, Ghosh, Deb, Douds, Andrew, Hoeroldt, Barbara, Booth, Jonathan, Williams, Earl, Hussaini, Hyder, Stableforth, William, Ayres, Reuben, Thorburn, Douglas, Marshall, Eileen, Burroughs, Andrew, Mann, Steven, Lombard, Martin, Richardson, Paul, Patanwala, Imran, Maltby, Julia, Brookes, Matthew, Mathew, Ray, Vyas, Samir, Singhal, Saket, Gleeson, Dermot, Misra, Sharat, Butterworth, Jeff, George, Keith, Harding, Tim, Douglass, Andrew, Panter, Simon, Shearman, Jeremy, Bray, Gary, Butcher, Graham, Forton, Daniel, Mclindon, John, Cowan, Matthew, Whatley, Gregory, Mandal, Aditya, Gupta, Hemant, Sanghi, Pradeep, Jain, Sanjiv, Pereira, Steve, Prasad, Geeta, Watts, Gill, Wright, Mark, Neuberger, James, Gordon, Fiona, Unitt, Esther, Grant, Allister, Delahooke, Toby, Higham, Andrew, Brind, Alison, Cox, Mark, Ramakrishnan, Subramaniam, King, Alistair, Collins, Carole, Whalley, Simon, Li, Andy, Fraser, Jocelyn, Bell, Andrew, Wong, Voi Shim, Singhal, Amit, Gee, Ian, Ang, Yeng, Ransford, Rupert, Gotto, James, Millson, Charles, Bowles, Jane, Thomas, Caradog, Harrison, Melanie, Galaska, Roman, Kendall, Jennie, Whiteman, Jessica, Lawlor, Caroline, Gray, Catherine, Elliott, Keith, Mulvaney-Jones, Caroline, Hobson, Lucie, Van Duyvenvoorde, Greta, Loftus, Alison, Seward, Katie, Penn, Ruth, Maiden, Jane, Damant, Rose, Hails, Janeane, Cloudsdale, Rebecca, Silvestre, Valeria, Glenn, Sue, Dungca, Eleanor, Wheatley, Natalie, Doyle, Helen, Kent, Melanie, Hamilton, Caroline, Braim, Delyth, Wooldridge, Helen, Abrahams, Rachel, Paton, Alison, Lancaster, Nicola, Gibbins, Andrew, Hogben, Karen, Desousa, Phillipa, Muscariu, Florin, Musselwhite, Janine, McKay, Alexandra, Tan, LaiTing, Foale, Carole, Brighton, Jacqueline, Flahive, Kerry, Nambela, Estelle, Townshend, Paula, Ford, Chris, Holder, Sophie, Palmer, Caroline, Featherstone, James, Nasseri, Mariam, Sadeghian, Joy, Williams, Bronwen, Thomas, Carol, Rolls, Sally-Ann, Hynes, Abigail, Duggan, Claire, Jones, Sarah, Crossey, Mary, Stansfield, Glynis, MacNicol, Carolyn, Wilkins, Joy, Wilhelmsen, Elva, Raymode, Parizade, Lee, Hye-Jeong, Durant, Emma, Bishop, Rebecca, Ncube, Noma, Tripoli, Sherill, Casey, Rebecca, Cowley, Caroline, Miller, Richard, Houghton, Kathryn, Ducker, Samantha, Wright, Fiona, Bird, Bridget, Baxter, Gwen, Keggans, Janie, Hughes, Maggie, Grieve, Emma, Young, Karin, Williams, D., Ocker, Kate, Hines, Frances, Martin, Kirsty, Innes, Caron, Valliani, Talal, Fairlamb, Helen, Thornthwaite, Sarah, Eastick, Anne, Tanqueray, Elizabeth, Morrison, Jennifer, Holbrook, Becky, Browning, Julie, Walker, Kirsten, Congreave, Susan, Verheyden, Juliette, Slininger, Susan, Stafford, Lizzie, O’Donnell, Denise, Ainsworth, Mark, Lord, Susan, Kent, Linda, March, Linda, Dickson, Christine, Simpson, Diane, Longhurst, Beverley, Hayes, Maria, Shpuza, Ervin, White, Nikki, Besley, Sarah, Pearson, Sallyanne, Wright, Alice, Jones, Linda, Gunter, Emma, Dewhurst, Hannah, Fouracres, Anna, Farrington, Liz, Graves, Lyn, Marriott, Suzie, Leoni, Marina, Tyrer, David, Martin, Kate, Dali-kemmery, Lola, Lambourne, Victoria, Green, Marie, Sirdefield, Dawn, Amor, Kelly, Colley, Julie, Shinder, Bal, Jones, Jayne, Mills, Marisa, Carnahan, Mandy, Taylor, Natalie, Boulton, Kerenza, Tregonning, Julie, Brown, Carly, Clifford, Gayle, Archer, Emily, Hamilton, Maria, Curtis, Janette, Shewan, Tracey, Walsh, Sue, Warner, Karen, Netherton, Kimberley, Mupudzi, Mcdonald, Gunson, Bridget, Gitahi, Jane, Gocher, Denise, Batham, Sally, Pateman, Hilary, Desmennu, Senayon, Conder, Jill, Clement, Darren, Gallagher, Susan, Orpe, Jacky, Chan, PuiChing, Currie, Lynn, O’Donohoe, Lynn, Oblak, Metod, Morgan, Lisa, Quinn, Marie, Amey, Isobel, Baird, Yolanda, Cotterill, Donna, Cumlat, Lourdes, Winter, Louise, Greer, Sandra, Spurdle, Katie, Allison, Joanna, Dyer, Simon, Sweeting, Helen, Kordula, Jean, Aiba, Yoshihiro, Nakamura, Hitomi, Abiru, Seigo, Nagaoka, Shinya, Komori, Atsumasa, Yatsuhashi, Hiroshi, Ishibashi, Hiromi, Ito, Masahiro, Kawai, Yosuke, Kohn, Seik-Soon, Gervais, Olivier, Migita, Kiyoshi, Katsushima, Shinji, Naganuma, Atsushi, Sugi, Kazuhiro, Komatsu, Tatsuji, Mannami, Tomohiko, Matsushita, Kouki, Yoshizawa, Kaname, Makita, Fujio, Nikami, Toshiki, Nishimura, Hideo, Kouno, Hiroshi, Kouno, Hirotaka, Ota, Hajime, Komura, Takuya, Nakamura, Yoko, Shimada, Masaaki, Hirashima, Noboru, Komeda, Toshiki, Ario, Keisuke, Nakamuta, Makoto, Yamashita, Tsutomu, Furuta, Kiyoshi, Kikuchi, Masahiro, Naeshiro, Noriaki, Takahashi, Hironao, Mano, Yutaka, Tsunematsu, Seiji, Yabuuchi, Iwao, Shimada, Yusuke, Yamauchi, Kazuhiko, Sugimoto, Rie, Sakai, Hironori, Mita, Eiji, Koda, Masaharu, Tsuruta, Satoru, Kamitsukasa, Hiroshi, Sato, Takeaki, Masaki, Naohiko, Kobata, Tatsuro, Fukushima, Nobuyoshi, Higuchi, Nobito, Ohara, Yukio, Muro, Toyokichi, Takesaki, Eiichi, Takaki, Hitoshi, Yamamoto, Tetsuo, Kato, Michio, Nagaoki, Yuko, Hayashi, Shigeki, Ishida, Jinya, Watanabe, Yukio, Kobayashi, Masakazu, Koga, Michiaki, Saoshiro, Takeo, Yagura, Michiyasu, Hirata, Keisuke, Takikawa, Hajime, Ohira, Hiromasa, Zeniya, Mikio, Abe, Masanori, Onji, Morikazu, Kaneko, Shuichi, Honda, Masao, Arai, Kuniaki, Arinaga-Hino, Teruko, Hashimoto, Etsuko, Taniai, Makiko, Umemura, Takeji, Joshita, Satoru, Nakao, Kazuhiko, Ichikawa, Tatsuki, Shibata, Hidetaka, Yamagiwa, Satoshi, Seike, Masataka, Honda, Koichi, Sakisaka, Shotaro, Takeyama, Yasuaki, Harada, Masaru, Senju, Michio, Yokosuka, Osamu, Kanda, Tatsuo, Ueno, Yoshiyuki, Kikuchi, Kentaro, Ebinuma, Hirotoshi, Himoto, Takashi, Yasunami, Michio, Murata, Kazumoto, Mizokami, Masashi, Shimoda, Shinji, Miyake, Yasuhiro, Takaki, Akinobu, Yamamoto, Kazuhide, Hirano, Katsuji, Ichida, Takafumi, Ido, Akio, Tsubouchi, Hirohito, Chayama, Kazuaki, Harada, Kenichi, Nakanuma, Yasuni, Maehara, Yoshihiko, Taketomi, Akinobu, Shirabe, Ken, Soejima, Yuji, Mori, Akira, Yagi, Shintaro, Uemoto, Shinji, Tanaka, Tomohiro, Yamashiki, Noriyo, Tamura, Sumito, Sugawara, Yasuhiro, Kokudo, Norihiro, Asselta, Rosanna, Paraboschi, Elvezia M., Gerussi, Alessio, Cordell, Heather J., Mells, George F., Sandford, Richard N., Jones, David E., Nakamura, Minoru, Ueno, Kazuko, Hitomi, Yuki, Kawashima, Minae, Nishida, Nao, Tokunaga, Katsushi, Nagasaki, Masao, Tanaka, Atsushi, Tang, Ruqi, Li, Zhiqiang, Shi, Yongyong, Liu, Xiangdong, Xiong, Ma, Hirschfield, Gideon, Siminovitch, Katherine A., Carbone, Marco, Cardamone, Giulia, Duga, Stefano, Gershwin, M. Eric, Seldin, Michael F., and Invernizzi, Pietro

Published
2021
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27. Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges

Author

Cai, Binghuang, Li, Biao, Kiga, Nikki, Thusberg, Janita, Bergquist, Timothy, Chen, Yun‐Ching, Niknafs, Noushin, Carter, Hannah, Tokheim, Collin, Beleva‐Guthrie, Violeta, Douville, Christopher, Bhattacharya, Rohit, Yeo, Hui Ting Grace, Fan, Jean, Sengupta, Sohini, Kim, Dewey, Cline, Melissa, Turner, Tychele, Diekhans, Mark, Zaucha, Jan, Pal, Lipika R, Cao, Chen, Yu, Chen‐Hsin, Yin, Yizhou, Carraro, Marco, Giollo, Manuel, Ferrari, Carlo, Leonardi, Emanuela, Tosatto, Silvio CE, Bobe, Jason, Ball, Madeleine, Hoskins, Roger A, Repo, Susanna, Church, George, Brenner, Steven E, Moult, John, Gough, Julian, Stanke, Mario, Karchin, Rachel, and Mooney, Sean D

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Biotechnology, Good Health and Well Being, Area Under Curve, Genetic Predisposition to Disease, High-Throughput Nucleotide Sequencing, Human Genome Project, Humans, Phenotype, Quantitative Trait Loci, Whole Genome Sequencing, biomedical informatics, community challenge, critical assessment, genome, genome interpretation, open consent, personal genome project, phenotype, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

The advent of next-generation sequencing has dramatically decreased the cost for whole-genome sequencing and increased the viability for its application in research and clinical care. The Personal Genome Project (PGP) provides unrestricted access to genomes of individuals and their associated phenotypes. This resource enabled the Critical Assessment of Genome Interpretation (CAGI) to create a community challenge to assess the bioinformatics community's ability to predict traits from whole genomes. In the CAGI PGP challenge, researchers were asked to predict whether an individual had a particular trait or profile based on their whole genome. Several approaches were used to assess submissions, including ROC AUC (area under receiver operating characteristic curve), probability rankings, the number of correct predictions, and statistical significance simulations. Overall, we found that prediction of individual traits is difficult, relying on a strong knowledge of trait frequency within the general population, whereas matching genomes to trait profiles relies heavily upon a small number of common traits including ancestry, blood type, and eye color. When a rare genetic disorder is present, profiles can be matched when one or more pathogenic variants are identified. Prediction accuracy has improved substantially over the last 6 years due to improved methodology and a better understanding of features.

Published
2017

28. Functional reconstitution of HBV-specific CD8 T cells by in vitro polyphenol treatment in chronic hepatitis B

Author

Acerbi, Greta, Montali, Ilaria, Ferrigno, Gennaro Domenico, Barili, Valeria, Schivazappa, Simona, Alfieri, Arianna, Laccabue, Diletta, Loglio, Alessandro, Borghi, Marta, Massari, Marco, Rossi, Marzia, Vecchi, Andrea, Penna, Amalia, Boni, Carolina, Missale, Gabriele, Lampertico, Pietro, Del Rio, Daniele, Ferrari, Carlo, and Fisicaro, Paola

Published
2021
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30. An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Author

Jiang, Yuxiang, Oron, Tal Ronnen, Clark, Wyatt T, Bankapur, Asma R, D'Andrea, Daniel, Lepore, Rosalba, Funk, Christopher S, Kahanda, Indika, Verspoor, Karin M, Ben-Hur, Asa, Koo, Emily, Penfold-Brown, Duncan, Shasha, Dennis, Youngs, Noah, Bonneau, Richard, Lin, Alexandra, Sahraeian, Sayed ME, Martelli, Pier Luigi, Profiti, Giuseppe, Casadio, Rita, Cao, Renzhi, Zhong, Zhaolong, Cheng, Jianlin, Altenhoff, Adrian, Skunca, Nives, Dessimoz, Christophe, Dogan, Tunca, Hakala, Kai, Kaewphan, Suwisa, Mehryary, Farrokh, Salakoski, Tapio, Ginter, Filip, Fang, Hai, Smithers, Ben, Oates, Matt, Gough, Julian, Törönen, Petri, Koskinen, Patrik, Holm, Liisa, Chen, Ching-Tai, Hsu, Wen-Lian, Bryson, Kevin, Cozzetto, Domenico, Minneci, Federico, Jones, David T, Chapman, Samuel, C., Dukka B K., Khan, Ishita K, Kihara, Daisuke, Ofer, Dan, Rappoport, Nadav, Stern, Amos, Cibrian-Uhalte, Elena, Denny, Paul, Foulger, Rebecca E, Hieta, Reija, Legge, Duncan, Lovering, Ruth C, Magrane, Michele, Melidoni, Anna N, Mutowo-Meullenet, Prudence, Pichler, Klemens, Shypitsyna, Aleksandra, Li, Biao, Zakeri, Pooya, ElShal, Sarah, Tranchevent, Léon-Charles, Das, Sayoni, Dawson, Natalie L, Lee, David, Lees, Jonathan G, Sillitoe, Ian, Bhat, Prajwal, Nepusz, Tamás, Romero, Alfonso E, Sasidharan, Rajkumar, Yang, Haixuan, Paccanaro, Alberto, Gillis, Jesse, Sedeño-Cortés, Adriana E, Pavlidis, Paul, Feng, Shou, Cejuela, Juan M, Goldberg, Tatyana, Hamp, Tobias, Richter, Lothar, Salamov, Asaf, Gabaldon, Toni, Marcet-Houben, Marina, Supek, Fran, Gong, Qingtian, Ning, Wei, Zhou, Yuanpeng, Tian, Weidong, Falda, Marco, Fontana, Paolo, Lavezzo, Enrico, Toppo, Stefano, Ferrari, Carlo, Giollo, Manuel, Piovesan, Damiano, Tosatto, Silvio, del Pozo, Angela, Fernández, José M, Maietta, Paolo, Valencia, Alfonso, Tress, Michael L, Benso, Alfredo, Di Carlo, Stefano, Politano, Gianfranco, Savino, Alessandro, Rehman, Hafeez Ur, Re, Matteo, Mesiti, Marco, Valentini, Giorgio, Bargsten, Joachim W, van Dijk, Aalt DJ, Gemovic, Branislava, Glisic, Sanja, Perovic, Vladmir, Veljkovic, Veljko, Veljkovic, Nevena, Almeida-e-Silva, Danillo C, Vencio, Ricardo ZN, Sharan, Malvika, Vogel, Jörg, Kansakar, Lakesh, Zhang, Shanshan, Vucetic, Slobodan, Wang, Zheng, Sternberg, Michael JE, Wass, Mark N, Huntley, Rachael P, Martin, Maria J, O'Donovan, Claire, Robinson, Peter N, Moreau, Yves, Tramontano, Anna, Babbitt, Patricia C, Brenner, Steven E, Linial, Michal, Orengo, Christine A, Rost, Burkhard, Greene, Casey S, Mooney, Sean D, Friedberg, Iddo, and Radivojac, Predrag

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations in technology for generating data and the inherently stochastic nature of biomolecular events have led to the discrepancy between the volume of data and the amount of knowledge gleaned from it. A major bottleneck in our ability to understand the molecular underpinnings of life is the assignment of function to biological macromolecules, especially proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, accurately assessing methods for protein function prediction and tracking progress in the field remain challenging. Methodology: We have conducted the second Critical Assessment of Functional Annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. One hundred twenty-six methods from 56 research groups were evaluated for their ability to predict biological functions using the Gene Ontology and gene-disease associations using the Human Phenotype Ontology on a set of 3,681 proteins from 18 species. CAFA2 featured significantly expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2. Conclusions: The top performing methods in CAFA2 outperformed the best methods from CAFA1, demonstrating that computational function prediction is improving. This increased accuracy can be attributed to the combined effect of the growing number of experimental annotations and improved methods for function prediction., Comment: Submitted to Genome Biology

Published
2016
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34. Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein–Protein Interaction Sites

Author

Quadrini, Michela, Daberdaku, Sebastian, Ferrari, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, Jansen, Giorgio, editor, Sciacca, Vincenzo, editor, Pardalos, Panos, editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2020
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36. Guidance for design and endpoints of clinical trials in chronic hepatitis B - Report from the 2019 EASL-AASLD HBV Treatment Endpoints Conference‡

Author

Berg, Thomas, Brunetto, Maurizia R., Buchholz, Stephanie, Buti, Maria, Chan, Henry L.Y., Chang, Kyong-Mi, Dandri, Maura, Dusheiko, Geoffrey, Feld, Jordan J., Ferrari, Carlo, Ghany, Marc, Janssen, Harry L.A., Kennedy, Patrick, Lampertico, Pietro, Liang, Jake, Locarnini, Stephen, Maini, Mala K., Mishra, Poonam, Papatheodoridis, George, Petersen, Jörg, Schlottmann, Silke, Wang, Su, Wedemeyer, Heiner, Cornberg, Markus, Lok, Anna Suk-Fong, Terrault, Norah A., and Zoulim, Fabien

Published
2020
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38. An hybrid Operating Theater setting for major surgery in an Extremly Low Birth Weight Infants: a case report

Author

Stellabotte, Michele, primary, Bentornato, Giuseppe, additional, Fornasieri, Alessandra, additional, Monteleone, Marcello, additional, Danelli, Marco, additional, Capoferri, Monica, additional, Macchini, Francesco, additional, Zanini, Andrea, additional, Mazzoleni, Stefano, additional, Ferrari, Carlo, additional, Montagnini, Luigi, additional, Stoia, Paolo Augusto, additional, and Somaini, Marta, additional

Published
2024
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44. Update of the statements on biology and clinical impact of occult hepatitis B virus infection

Author

Allain, Jean-Pierre, Berg, Thomas, Bertoletti, Antonio, Brunetto, Maurizia Rossana, Bruno, Raffaele, Chen, Ding-Shinn, Coppola, Nicola, Cornberg, Markus, Craxì, Antonio, Dandri, Maura, Di Marco, Vito, Ferrari, Carlo, Gaeta, Giovanni Battista, Glebe, Dieter, Guidotti, Luca G., Kramvis, Anna, Lampertico, Pietro, Li, Chengyao, Liang, Jake, Marzano, Alfredo, Michalak, Thomas I., Pawlotsky, Jean-Michel, Prati, Daniele, Puoti, Massimo, Samuel, Didier, Soriano, Vincent, Squadrito, Giovanni, Sureau, Camille, Trepo, Christian, Yuen, Man-Fung, Raimondo, Giovanni, Locarnini, Stephen, Pollicino, Teresa, Levrero, Massimo, Zoulim, Fabien, and Lok, Anna S.

Published
2019
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45. Combined GS-4774 and Tenofovir Therapy Can Improve HBV-Specific T-Cell Responses in Patients With Chronic Hepatitis

Author

Boni, Carolina, Janssen, Harry L.A., Rossi, Marzia, Yoon, Seung Kew, Vecchi, Andrea, Barili, Valeria, Yoshida, Eric M., Trinh, Huy, Rodell, Timothy C., Laccabue, Diletta, Alfieri, Arianna, Brillo, Federica, Fisicaro, Paola, Acerbi, Greta, Pedrazzi, Giuseppe, Andreone, Pietro, Cursaro, Carmela, Margotti, Marzia, Santoro, Rosanna, Piazzolla, Valeria, Brunetto, Maurizia R., Coco, Barbara, Cavallone, Daniela, Zhao, Yang, Joshi, Adarsh, Woo, Jacky, Lau, Audrey H., Gaggar, Anuj, Subramanian, G. Mani, Massetto, Benedetta, Fung, Scott, Ahn, Sang Hoon, Ma, Xiaoli, Mangia, Alessandra, and Ferrari, Carlo

Published
2019
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46. Endoscopic vacuum therapy (eVAC) combined with continuous perianastomotic irrigation for prevention of anastomotic leak after surgical ampullectomy.

Author

Meier, Olga, Ferrari, Carlo, Ehrsam, Jonas Peter, Porreca, Annamaria, Seewald, Stefan, Groth, Stefan, Gutzwiller, Jean-Pierre, and Schmidt, Jan

Subjects
*IRRIGATION (Medicine), *IRRIGATION, *ENDOSCOPIC surgery, *PANCREATICODUODENECTOMY, *SURGICAL complications, *DEMOGRAPHIC characteristics, *REIMPLANTATION (Surgery)
Abstract

Purpose: Transduodenal surgical ampullectomy (tAMP) with papillary reimplantation is a valid alternative to pancreaticoduodenectomy for lesions of the periampullary region not amenable to endoscopic resection. As tAMP is burdened by high rates of biliopancreatic-enteric anastomotic leak, we tested preventive endoluminal vacuum therapy (eVAC) combined with post-operative continuous perianastomotic irrigation (CPI) to reduce such anastomotic leak. Methods: Between 10/2013 and 09/2023, 37 patients undergoing laparotomic tAMP (with or without jejunal transposition) and papillary reimplantation at Hirslanden Klinik Zurich were retrospectively analysed; of these, 16 received prophylactic eVAC combined with CPI, while the remaining represented the historical cohort. Results: The eVAC-CPI-group and the historical-cohort were homogeneous in demographic characteristics. Surgery in the prophylactic eVAC-CPI-group lasted about 30 min longer due to eVAC application (p = 0.008). The biliopancreatico-enteric anastomotic leak rates were 6.2% in the eVAC-CIP-group vs. 19.0% in the historical-cohort (p = 0.266). Along, a strong trend of less severe post-operative complications in general (p = 0.073), and borderline-significantly less cases of acute pancreatitis (p = 0.057) and tAMP-related re-operations or re-interventions (p = 0.057) in particular, were observed in the eVAC-CPI-group. The only anastomotic leak in the eVAC-CPI-group was successfully managed through repeated cycles of eVAC. The device was well tolerated by all patients; no vacuum/irrigation-related complications or malfunctioning occurred. Conclusion: Our study is the first to provide some technical insights demonstrating the safety and feasibility of a prophylactic approach with eVAC and perianastomotic irrigation to reduce anastomotic leak after tAMP. Increasing the number of subjects will confirm the benefit of our promising results. [ABSTRACT FROM AUTHOR]

Published
2024
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47. FluoroSpot assay to analyze SARS-CoV-2-specific T cell responses

Author

Tiezzi, Camilla, primary, Rossi, Marzia, additional, Vecchi, Andrea, additional, Doselli, Sara, additional, Penna, Amalia, additional, Fisicaro, Paola, additional, Montali, Ilaria, additional, Ceccatelli Berti, Camilla, additional, Reverberi, Valentina, additional, Montali, Anna, additional, Missale, Gabriele, additional, Ferrari, Carlo, additional, and Boni, Carolina, additional

Published
2023
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49. Design and Deployment of Identity Recognition Systems

Author

Ferrari, Carlo, Moro, Michele, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Barolli, Leonard, editor, and Terzo, Olivier, editor

Published
2018
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