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A roadmap for the functional annotation of protein families: a community perspective
Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicte...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374478/ https://www.ncbi.nlm.nih.gov/pubmed/35961013 http://dx.doi.org/10.1093/database/baac062 |
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author | de Crécy-lagard, Valérie Amorin de Hegedus, Rocio Arighi, Cecilia Babor, Jill Bateman, Alex Blaby, Ian Blaby-Haas, Crysten Bridge, Alan J Burley, Stephen K Cleveland, Stacey Colwell, Lucy J Conesa, Ana Dallago, Christian Danchin, Antoine de Waard, Anita Deutschbauer, Adam Dias, Raquel Ding, Yousong Fang, Gang Friedberg, Iddo Gerlt, John Goldford, Joshua Gorelik, Mark Gyori, Benjamin M Henry, Christopher Hutinet, Geoffrey Jaroch, Marshall Karp, Peter D Kondratova, Liudmyla Lu, Zhiyong Marchler-Bauer, Aron Martin, Maria-Jesus McWhite, Claire Moghe, Gaurav D Monaghan, Paul Morgat, Anne Mungall, Christopher J Natale, Darren A Nelson, William C O’Donoghue, Seán Orengo, Christine O’Toole, Katherine H Radivojac, Predrag Reed, Colbie Roberts, Richard J Rodionov, Dmitri Rodionova, Irina A Rudolf, Jeffrey D Saleh, Lana Sheynkman, Gloria Thibaud-Nissen, Francoise Thomas, Paul D Uetz, Peter Vallenet, David Carter, Erica Watson Weigele, Peter R Wood, Valerie Wood-Charlson, Elisha M Xu, Jin |
author_facet | de Crécy-lagard, Valérie Amorin de Hegedus, Rocio Arighi, Cecilia Babor, Jill Bateman, Alex Blaby, Ian Blaby-Haas, Crysten Bridge, Alan J Burley, Stephen K Cleveland, Stacey Colwell, Lucy J Conesa, Ana Dallago, Christian Danchin, Antoine de Waard, Anita Deutschbauer, Adam Dias, Raquel Ding, Yousong Fang, Gang Friedberg, Iddo Gerlt, John Goldford, Joshua Gorelik, Mark Gyori, Benjamin M Henry, Christopher Hutinet, Geoffrey Jaroch, Marshall Karp, Peter D Kondratova, Liudmyla Lu, Zhiyong Marchler-Bauer, Aron Martin, Maria-Jesus McWhite, Claire Moghe, Gaurav D Monaghan, Paul Morgat, Anne Mungall, Christopher J Natale, Darren A Nelson, William C O’Donoghue, Seán Orengo, Christine O’Toole, Katherine H Radivojac, Predrag Reed, Colbie Roberts, Richard J Rodionov, Dmitri Rodionova, Irina A Rudolf, Jeffrey D Saleh, Lana Sheynkman, Gloria Thibaud-Nissen, Francoise Thomas, Paul D Uetz, Peter Vallenet, David Carter, Erica Watson Weigele, Peter R Wood, Valerie Wood-Charlson, Elisha M Xu, Jin |
author_sort | de Crécy-lagard, Valérie |
collection | PubMed |
description | Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicted sequenced proteins carry an accurate functional annotation, and this percentage varies drastically between different organismal lineages. Such a large gap in knowledge hampers all aspects of biological enterprise and, thereby, is standing in the way of genomic biology reaching its full potential. A brainstorming meeting to address this issue funded by the National Science Foundation was held during 3–4 February 2022. Bringing together data scientists, biocurators, computational biologists and experimentalists within the same venue allowed for a comprehensive assessment of the current state of functional annotations of protein families. Further, major issues that were obstructing the field were identified and discussed, which ultimately allowed for the proposal of solutions on how to move forward. |
format | Online Article Text |
id | pubmed-9374478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93744782022-08-15 A roadmap for the functional annotation of protein families: a community perspective de Crécy-lagard, Valérie Amorin de Hegedus, Rocio Arighi, Cecilia Babor, Jill Bateman, Alex Blaby, Ian Blaby-Haas, Crysten Bridge, Alan J Burley, Stephen K Cleveland, Stacey Colwell, Lucy J Conesa, Ana Dallago, Christian Danchin, Antoine de Waard, Anita Deutschbauer, Adam Dias, Raquel Ding, Yousong Fang, Gang Friedberg, Iddo Gerlt, John Goldford, Joshua Gorelik, Mark Gyori, Benjamin M Henry, Christopher Hutinet, Geoffrey Jaroch, Marshall Karp, Peter D Kondratova, Liudmyla Lu, Zhiyong Marchler-Bauer, Aron Martin, Maria-Jesus McWhite, Claire Moghe, Gaurav D Monaghan, Paul Morgat, Anne Mungall, Christopher J Natale, Darren A Nelson, William C O’Donoghue, Seán Orengo, Christine O’Toole, Katherine H Radivojac, Predrag Reed, Colbie Roberts, Richard J Rodionov, Dmitri Rodionova, Irina A Rudolf, Jeffrey D Saleh, Lana Sheynkman, Gloria Thibaud-Nissen, Francoise Thomas, Paul D Uetz, Peter Vallenet, David Carter, Erica Watson Weigele, Peter R Wood, Valerie Wood-Charlson, Elisha M Xu, Jin Database (Oxford) Meeting Report Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicted sequenced proteins carry an accurate functional annotation, and this percentage varies drastically between different organismal lineages. Such a large gap in knowledge hampers all aspects of biological enterprise and, thereby, is standing in the way of genomic biology reaching its full potential. A brainstorming meeting to address this issue funded by the National Science Foundation was held during 3–4 February 2022. Bringing together data scientists, biocurators, computational biologists and experimentalists within the same venue allowed for a comprehensive assessment of the current state of functional annotations of protein families. Further, major issues that were obstructing the field were identified and discussed, which ultimately allowed for the proposal of solutions on how to move forward. Oxford University Press 2022-08-12 /pmc/articles/PMC9374478/ /pubmed/35961013 http://dx.doi.org/10.1093/database/baac062 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Meeting Report de Crécy-lagard, Valérie Amorin de Hegedus, Rocio Arighi, Cecilia Babor, Jill Bateman, Alex Blaby, Ian Blaby-Haas, Crysten Bridge, Alan J Burley, Stephen K Cleveland, Stacey Colwell, Lucy J Conesa, Ana Dallago, Christian Danchin, Antoine de Waard, Anita Deutschbauer, Adam Dias, Raquel Ding, Yousong Fang, Gang Friedberg, Iddo Gerlt, John Goldford, Joshua Gorelik, Mark Gyori, Benjamin M Henry, Christopher Hutinet, Geoffrey Jaroch, Marshall Karp, Peter D Kondratova, Liudmyla Lu, Zhiyong Marchler-Bauer, Aron Martin, Maria-Jesus McWhite, Claire Moghe, Gaurav D Monaghan, Paul Morgat, Anne Mungall, Christopher J Natale, Darren A Nelson, William C O’Donoghue, Seán Orengo, Christine O’Toole, Katherine H Radivojac, Predrag Reed, Colbie Roberts, Richard J Rodionov, Dmitri Rodionova, Irina A Rudolf, Jeffrey D Saleh, Lana Sheynkman, Gloria Thibaud-Nissen, Francoise Thomas, Paul D Uetz, Peter Vallenet, David Carter, Erica Watson Weigele, Peter R Wood, Valerie Wood-Charlson, Elisha M Xu, Jin A roadmap for the functional annotation of protein families: a community perspective |
title | A roadmap for the functional annotation of protein families: a community perspective |
title_full | A roadmap for the functional annotation of protein families: a community perspective |
title_fullStr | A roadmap for the functional annotation of protein families: a community perspective |
title_full_unstemmed | A roadmap for the functional annotation of protein families: a community perspective |
title_short | A roadmap for the functional annotation of protein families: a community perspective |
title_sort | roadmap for the functional annotation of protein families: a community perspective |
topic | Meeting Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374478/ https://www.ncbi.nlm.nih.gov/pubmed/35961013 http://dx.doi.org/10.1093/database/baac062 |
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