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UniProt: theuniversal proteinknowledgebase in 2021 Alex BatemanMaría MartinSandra Orchard2020 год

UniProt: the universal protein knowledgebase in 2021
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Аннотация: The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this article, we describe significant updates that we have made over the last two years to the resource. The number of sequences in UniProtKB has risen to approximately 190 million, despite continued work to reduce sequence redundancy at the proteome level. We have adopted new methods of assessing proteome completeness and quality. We continue to extract detailed annotations from the literature to add to reviewed entries and supplement these in unreviewed entries with annotations provided by automated systems such as the newly implemented Association-Rule-Based Annotator (ARBA). We have developed a credit-based publication submission interface to allow the community to contribute publications and annotations to UniProt entries. We describe how UniProtKB responded to the COVID-19 pandemic through expert curation of relevant entries that were rapidly made available to the research community through a dedicated portal. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.
Год издания: 2020
Авторы: Alex Bateman, María Martin, Sandra Orchard, Michele Magrane, Rahat Agivetova, Shadab Ahmad, Emanuele Alpi, Emily Bowler-Barnett, Ramona Britto, Borisas Bursteinas, Hema Bye‐A‐Jee, Ray Coetzee, Austra Cukura, Alan Da Silva, Paul Denny, Tunca Doğan, ThankGod E. Ebenezer, Jun Fan, Leyla Jael Castro, Penelope Garmiri, George P. Georghiou, Leonardo Jose da Costa Gonzales, Emma Hatton-Ellis, Abdulrahman Hussein, Alexandr Ignatchenko, Giuseppe Insana, Rizwan Ishtiaq, Petteri Jokinen, Vishal Joshi, Dushyanth Jyothi, Antonia Lock, Rodrigo López, Aurélien Luciani, Jie Luo, Yvonne Lussi, Alistair MacDougall, Fábio Madeira, Mahdi Mahmoudy, M. Menchi, Alok Mishra, Katie Moulang, Andrew Nightingale, Carla Susana Oliveira, Sangya Pundir, Guoying Qi, Shriya Raj, Daniel L Rice, M. Rodríguez-López, Rabie Saidi, J. H. Sampson, Tony Sawford, Elena Speretta, E. B. Turner, Nidhi Tyagi, Preethi Vasudev, Vladimir Volynkin, Kate Warner, Xavier Watkins, Rossana Zaru, Hermann Zellner, Alan Bridge, Sylvain Poux, Nicole Redaschi, Lucila Aimo, Ghislaine Argoud‐Puy, Andrea Auchincloss, Kristian B. Axelsen, Parit Bansal, Delphine Baratin, Marie-Claude Blatter, Jerven Bolleman, Emmanuel Boutet, Lionel Breuza, Cristina Casals‐Casas, Leyla Jael Castro, Kamal Chikh Echioukh, Elisabeth Coudert, Beatrice Cuche, Mikael Doche, Dolnide Dornevil, Anne Estreicher, Maria Livia Famiglietti, Marc Feuermann, Elisabeth Gasteiger, Sébastien Géhant, Vivienne Baillie Gerritsen, Arnaud Gos, Nadine Gruaz-Gumowski, Ursula Hinz, Chantal Hulo, Nevila Hyka‐Nouspikel, Florence Jungo, G. Keller, Arnaud Kerhornou, V. Lara, Philippe Le Mercier, Damien Lieberherr, Thierry Lombardot, Xavier Martín, Patrick Masson, Anne Morgat, Teresa Batista Neto, Salvo Paesano, Ivo Pedruzzi, Sandrine Pilbout, Lucille Pourcel, Monica Pozzato, Manuela Pruess, Catherine Rivoire, Christian Sigrist, Karin Sonesson, André Stutz, Shyamala Sundaram, Michael Tognolli, Laure Verbregue, Cathy Wu, Cecilia Arighi, Leslie Arminski, Chuming Chen, Chuming Chen, John S. Garavelli, Hongzhan Huang, Kati Laiho, Peter B. McGarvey, Darren A. Natale, Karen Ross, C R Vinayaka, Qinghua Wang, Yuqi Wang, Lai-Su Yeh, Jian Zhang, Patrick Ruch, Douglas Teodoro
Издательство: Oxford University Press
Источник: Nucleic Acids Research
Ключевые слова: Genomics and Phylogenetic Studies, Advanced Proteomics Techniques and Applications, Machine Learning in Bioinformatics
Другие ссылки: Nucleic Acids Research (PDF)
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