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The Gene Ontology knowledgebase in 2023.

Authors :
Aleksander SA
Balhoff J
Carbon S
Cherry JM
Drabkin HJ
Ebert D
Feuermann M
Gaudet P
Harris NL
Hill DP
Lee R
Mi H
Moxon S
Mungall CJ
Muruganugan A
Mushayahama T
Sternberg PW
Thomas PD
Van Auken K
Ramsey J
Siegele DA
Chisholm RL
Fey P
Aspromonte MC
Nugnes MV
Quaglia F
Tosatto S
Giglio M
Nadendla S
Antonazzo G
Attrill H
Dos Santos G
Marygold S
Strelets V
Tabone CJ
Thurmond J
Zhou P
Ahmed SH
Asanitthong P
Luna Buitrago D
Erdol MN
Gage MC
Ali Kadhum M
Li KYC
Long M
Michalak A
Pesala A
Pritazahra A
Saverimuttu SCC
Su R
Thurlow KE
Lovering RC
Logie C
Oliferenko S
Blake J
Christie K
Corbani L
Dolan ME
Drabkin HJ
Hill DP
Ni L
Sitnikov D
Smith C
Cuzick A
Seager J
Cooper L
Elser J
Jaiswal P
Gupta P
Jaiswal P
Naithani S
Lera-Ramirez M
Rutherford K
Wood V
De Pons JL
Dwinell MR
Hayman GT
Kaldunski ML
Kwitek AE
Laulederkind SJF
Tutaj MA
Vedi M
Wang SJ
D'Eustachio P
Aimo L
Axelsen K
Bridge A
Hyka-Nouspikel N
Morgat A
Aleksander SA
Cherry JM
Engel SR
Karra K
Miyasato SR
Nash RS
Skrzypek MS
Weng S
Wong ED
Bakker E
Berardini TZ
Reiser L
Auchincloss A
Axelsen K
Argoud-Puy G
Blatter MC
Boutet E
Breuza L
Bridge A
Casals-Casas C
Coudert E
Estreicher A
Livia Famiglietti M
Feuermann M
Gos A
Gruaz-Gumowski N
Hulo C
Hyka-Nouspikel N
Jungo F
Le Mercier P
Lieberherr D
Masson P
Morgat A
Pedruzzi I
Pourcel L
Poux S
Rivoire C
Sundaram S
Bateman A
Bowler-Barnett E
Bye-A-Jee H
Denny P
Ignatchenko A
Ishtiaq R
Lock A
Lussi Y
Magrane M
Martin MJ
Orchard S
Raposo P
Speretta E
Tyagi N
Warner K
Zaru R
Diehl AD
Lee R
Chan J
Diamantakis S
Raciti D
Zarowiecki M
Fisher M
James-Zorn C
Ponferrada V
Zorn A
Ramachandran S
Ruzicka L
Westerfield M
Source :
Genetics [Genetics] 2023 May 04; Vol. 224 (1).
Publication Year :
2023

Abstract

The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.<br />Competing Interests: Conflicts of interest The authors declare no conflicts of interest.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of The Genetics Society of America.)

Details

Language :
English
ISSN :
1943-2631
Volume :
224
Issue :
1
Database :
MEDLINE
Journal :
Genetics
Publication Type :
Academic Journal
Accession number :
36866529
Full Text :
https://doi.org/10.1093/genetics/iyad031