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The Gene Ontology Resource: 20 years and still GOing strong

Authors :
Rebecca Tauber
Robert J. Dodson
Marek S. Skrzypek
Raymond Lee
Valerie Wood
Paul W. Sternberg
C. Rivoire
Nancy H. Campbell
E. Hatton-Ellis
M. Rodriguez-Lopez
Elena Speretta
D. S. Osumi
Alix J. Rey
A. Mac-Dougall
Jane E. Mendel
Christopher J. Mungall
Helen Parkinson
Maria Jesus Martin
Pascale Gaudet
A. Stutz
Nathan Dunn
Gillian Millburn
Kate Warner
K. Axelsen
C. Arighi
Mary E. Dolan
M. J. Kesling
Barbara Kramarz
Seth Carbon
Joshua L. Goodman
Rachael P. Huntley
Anjali Shrivastava
Daniela Raciti
C. Wu
Victor B. Strelets
Steven J Marygold
H. Drabkin
M. Magrane
Benjamin M. Good
A. Shrivatsav Vp
Lorna Richardson
James P. Balhoff
P. Lemercier
E. Bakker
Amaia Sangrador-Vegas
Marc Feuermann
Paul Thomas
D. Lieberherr
J. Cho
Hans-Michael Müller
Robert S. Nash
Leonore Reiser
Birgit H M Meldal
Neil D. Rawlings
N. N. Hyka
D. A. Natale
Paola Roncaglia
Paul Denny
Michelle G. Giglio
Judith A. Blake
S. Sundaram
Shankar Subramaniam
Marcus C. Chibucos
Kevin A. MacPherson
S. Poux
Karen R. Christie
Mary Shimoyama
Eva Huala
Colin Logie
Huaiyu Mi
Felix Gondwe
K. Pichler
Petra Fey
Deborah A. Siegele
Phani V. Garapati
N. Tyagi
J L De Pons
Alex Bateman
Melinda R. Dwinell
Pablo Porras
Giulia Antonazzo
Midori A. Harris
Y. Lussi
Stuart R. Miyasato
Li Ni
K. Laiho
A. Estreicher
Travis K. Sheppard
Edith D. Wong
M. C. Harrison
H. Chen
S. Basu
Sandra A. LaBonte
Margaret Duesbury
E. Hartline
Sibyl Gao
Vítor Trovisco
Jacqueline Hayles
George Georghiou
Rex L. Chisholm
Kathleen Falls
S. Poudel
James C. Hu
G. T. Hayman
Kim Rutherford
F. Jungo
Hsin-Yu Chang
E. Boutet
Robert D. Finn
Alex L. Mitchell
Stan Laulederkind
J. H. Rawson
Marek Tutaj
Vanessa Acquaah
Peter D'Eustachio
G. Keller
L. Breuza
P. Garmiri
Nicholas H. Brown
Laurent-Philippe Albou
Antonia Lock
Nomi L. Harris
U. Hinz
Matthew Berriman
R. Britto
Rossana Zaru
Suzanna E. Lewis
N. Gruaz-Gumowski
Livia Perfetto
Matt Simison
Martin Kuiper
Shuai Weng
M. Tognolli
G. Dos Santos
Elizabeth R Bolton
Xiaosong Huang
A. Gos
P. Masson
David B. Emmert
Lisa Matthews
C. Casals-Casas
Kevin L. Howe
N. T. Del
Sandra Orchard
L. Famiglietti
Doug Howe
T. Sawford
T. E.M. Jones
Stephen G. Oliver
Kalpana Karra
S. Fexova
Tremayne Mushayahama
Dustin Ebert
Jim Thurmond
Ruth C. Lovering
E. Coudert
A. Bridge
Suzi Aleksander
Suvarna Nadendla
Christian A. Grove
David P. Hill
J. M. Cherry
M. C. Blatter
K. Van Auken
H. Bye-A-Jee
B. L. Dunn
A. Lreid
Sabrina Toro
Monte Westerfield
Z. Xie
A. Auchincloss
I. Pedruzzi
Anushya Muruganujan
B. Bely
S. H. Ahmad
Stacia R. Engel
Shur-Jen Wang
Gail Binkley
Lincoln Stein
Pinglei Zhou
G. P. Argoud
Marcio Luis Acencio
C. Hulo
Jürg Bähler
Juancarlos Chan
P. C. Ng
Helen Attrill
Mélanie Courtot
A. Ignatchenko
Tanya Z. Berardini
D. Sitnikov
Eric Douglass
A. Shypitsyna
Source :
Nucleic Acids Research, 47, D1, pp. D330-D338, Nucleic Acids Research, gky1055, Nucleic Acids Research, 47, D330-D338
Publication Year :
2018

Abstract

The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under continual improvement, both in quantity and in quality. Here, we report the major developments of the GO resource during the past two years. Each monthly release of the GO resource is now packaged and given a unique identifier (DOI), enabling GO-based analyses on a specific release to be reproduced in the future. The molecular function ontology has been refactored to better represent the overall activities of gene products, with a focus on transcription regulator activities. Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations. New evidence codes for high-throughput experiments now enable users to filter out annotations obtained from these sources. GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models. We also provide the ‘GO ribbon’ widget for visualizing GO annotations to a gene; the widget can be easily embedded in any web page. This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Details

ISSN :
03051048
Database :
OpenAIRE
Journal :
Nucleic Acids Research, 47, D1, pp. D330-D338, Nucleic Acids Research, gky1055, Nucleic Acids Research, 47, D330-D338
Accession number :
edsair.doi.dedup.....e74fd21995f07297f1ffd1fffedaa682
Full Text :
https://doi.org/10.1093/nar/gky1055