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UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase

MOTIVATION: The number of protein records in the UniProt Knowledgebase (UniProtKB: https://www.uniprot.org) continues to grow rapidly as a result of genome sequencing and the prediction of protein-coding genes. Providing functional annotation for these proteins presents a significant and continuing...

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Autores principales: MacDougall, Alistair, Volynkin, Vladimir, Saidi, Rabie, Poggioli, Diego, Zellner, Hermann, Hatton-Ellis, Emma, Joshi, Vishal, O’Donovan, Claire, Orchard, Sandra, Auchincloss, Andrea H, Baratin, Delphine, Bolleman, Jerven, Coudert, Elisabeth, de Castro, Edouard, Hulo, Chantal, Masson, Patrick, Pedruzzi, Ivo, Rivoire, Catherine, Arighi, Cecilia, Wang, Qinghua, Chen, Chuming, Huang, Hongzhan, Garavelli, John, Vinayaka, C R, Yeh, Lai-Su, Natale, Darren A, Laiho, Kati, Martin, Maria-Jesus, Renaux, Alexandre, Pichler, Klemens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750954/
https://www.ncbi.nlm.nih.gov/pubmed/32399560
http://dx.doi.org/10.1093/bioinformatics/btaa485
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author MacDougall, Alistair
Volynkin, Vladimir
Saidi, Rabie
Poggioli, Diego
Zellner, Hermann
Hatton-Ellis, Emma
Joshi, Vishal
O’Donovan, Claire
Orchard, Sandra
Auchincloss, Andrea H
Baratin, Delphine
Bolleman, Jerven
Coudert, Elisabeth
de Castro, Edouard
Hulo, Chantal
Masson, Patrick
Pedruzzi, Ivo
Rivoire, Catherine
Arighi, Cecilia
Wang, Qinghua
Chen, Chuming
Huang, Hongzhan
Garavelli, John
Vinayaka, C R
Yeh, Lai-Su
Natale, Darren A
Laiho, Kati
Martin, Maria-Jesus
Renaux, Alexandre
Pichler, Klemens
author_facet MacDougall, Alistair
Volynkin, Vladimir
Saidi, Rabie
Poggioli, Diego
Zellner, Hermann
Hatton-Ellis, Emma
Joshi, Vishal
O’Donovan, Claire
Orchard, Sandra
Auchincloss, Andrea H
Baratin, Delphine
Bolleman, Jerven
Coudert, Elisabeth
de Castro, Edouard
Hulo, Chantal
Masson, Patrick
Pedruzzi, Ivo
Rivoire, Catherine
Arighi, Cecilia
Wang, Qinghua
Chen, Chuming
Huang, Hongzhan
Garavelli, John
Vinayaka, C R
Yeh, Lai-Su
Natale, Darren A
Laiho, Kati
Martin, Maria-Jesus
Renaux, Alexandre
Pichler, Klemens
author_sort MacDougall, Alistair
collection PubMed
description MOTIVATION: The number of protein records in the UniProt Knowledgebase (UniProtKB: https://www.uniprot.org) continues to grow rapidly as a result of genome sequencing and the prediction of protein-coding genes. Providing functional annotation for these proteins presents a significant and continuing challenge. RESULTS: In response to this challenge, UniProt has developed a method of annotation, known as UniRule, based on expertly curated rules, which integrates related systems (RuleBase, HAMAP, PIRSR, PIRNR) developed by the members of the UniProt consortium. UniRule uses protein family signatures from InterPro, combined with taxonomic and other constraints, to select sets of reviewed proteins which have common functional properties supported by experimental evidence. This annotation is propagated to unreviewed records in UniProtKB that meet the same selection criteria, most of which do not have (and are never likely to have) experimentally verified functional annotation. Release 2020_01 of UniProtKB contains 6496 UniRule rules which provide annotation for 53 million proteins, accounting for 30% of the 178 million records in UniProtKB. UniRule provides scalable enrichment of annotation in UniProtKB. AVAILABILITY AND IMPLEMENTATION: UniRule rules are integrated into UniProtKB and can be viewed at https://www.uniprot.org/unirule/. UniRule rules and the code required to run the rules, are publicly available for researchers who wish to annotate their own sequences. The implementation used to run the rules is known as UniFIRE and is available at https://gitlab.ebi.ac.uk/uniprot-public/unifire.
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spelling pubmed-77509542020-12-28 UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase MacDougall, Alistair Volynkin, Vladimir Saidi, Rabie Poggioli, Diego Zellner, Hermann Hatton-Ellis, Emma Joshi, Vishal O’Donovan, Claire Orchard, Sandra Auchincloss, Andrea H Baratin, Delphine Bolleman, Jerven Coudert, Elisabeth de Castro, Edouard Hulo, Chantal Masson, Patrick Pedruzzi, Ivo Rivoire, Catherine Arighi, Cecilia Wang, Qinghua Chen, Chuming Huang, Hongzhan Garavelli, John Vinayaka, C R Yeh, Lai-Su Natale, Darren A Laiho, Kati Martin, Maria-Jesus Renaux, Alexandre Pichler, Klemens Bioinformatics Original Papers MOTIVATION: The number of protein records in the UniProt Knowledgebase (UniProtKB: https://www.uniprot.org) continues to grow rapidly as a result of genome sequencing and the prediction of protein-coding genes. Providing functional annotation for these proteins presents a significant and continuing challenge. RESULTS: In response to this challenge, UniProt has developed a method of annotation, known as UniRule, based on expertly curated rules, which integrates related systems (RuleBase, HAMAP, PIRSR, PIRNR) developed by the members of the UniProt consortium. UniRule uses protein family signatures from InterPro, combined with taxonomic and other constraints, to select sets of reviewed proteins which have common functional properties supported by experimental evidence. This annotation is propagated to unreviewed records in UniProtKB that meet the same selection criteria, most of which do not have (and are never likely to have) experimentally verified functional annotation. Release 2020_01 of UniProtKB contains 6496 UniRule rules which provide annotation for 53 million proteins, accounting for 30% of the 178 million records in UniProtKB. UniRule provides scalable enrichment of annotation in UniProtKB. AVAILABILITY AND IMPLEMENTATION: UniRule rules are integrated into UniProtKB and can be viewed at https://www.uniprot.org/unirule/. UniRule rules and the code required to run the rules, are publicly available for researchers who wish to annotate their own sequences. The implementation used to run the rules is known as UniFIRE and is available at https://gitlab.ebi.ac.uk/uniprot-public/unifire. Oxford University Press 2020-05-12 /pmc/articles/PMC7750954/ /pubmed/32399560 http://dx.doi.org/10.1093/bioinformatics/btaa485 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
MacDougall, Alistair
Volynkin, Vladimir
Saidi, Rabie
Poggioli, Diego
Zellner, Hermann
Hatton-Ellis, Emma
Joshi, Vishal
O’Donovan, Claire
Orchard, Sandra
Auchincloss, Andrea H
Baratin, Delphine
Bolleman, Jerven
Coudert, Elisabeth
de Castro, Edouard
Hulo, Chantal
Masson, Patrick
Pedruzzi, Ivo
Rivoire, Catherine
Arighi, Cecilia
Wang, Qinghua
Chen, Chuming
Huang, Hongzhan
Garavelli, John
Vinayaka, C R
Yeh, Lai-Su
Natale, Darren A
Laiho, Kati
Martin, Maria-Jesus
Renaux, Alexandre
Pichler, Klemens
UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title_full UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title_fullStr UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title_full_unstemmed UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title_short UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase
title_sort unirule: a unified rule resource for automatic annotation in the uniprot knowledgebase
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750954/
https://www.ncbi.nlm.nih.gov/pubmed/32399560
http://dx.doi.org/10.1093/bioinformatics/btaa485
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