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The Gene Ontology knowledgebase in 2023

Authors :
Aleksander, Suzi A
Balhoff, James
Carbon, Seth
Cherry, J Michael
Drabkin, Harold J
Ebert, Dustin
Feuermann, Marc
Gaudet, Pascale
Harris, Nomi L
Hill, David P
Lee, Raymond
Huaiyu, Mi
Moxon, Sierra
Mungall, Christopher J
Muruganugan, Anushya
Mushayahama, Tremayne
Sternberg, Paul W
Thomas, Paul D
Van Auken, Kimberly
Ramsey, Jolene
Siegele, Deborah A
Chisholm, Rex L
Fey, Petra
Aspromonte, Maria Cristina
Nugnes, Maria Victoria
Quaglia, Federica
Tosatto, Silvio
Giglio, Michelle
Nadendla, Suvarna
Antonazzo, Giulia
Attrill, Helen
dos Santos, Gil
Marygold, Steven
Strelets, Victor
Tabone, Christopher J
Thurmond, Jim
Zhou, Pinglei
Ahmed, Saadullah H
Asanitthong, Praoparn
Buitrago, Diana Luna
Erdol, Meltem N
Gage, Matthew C
Kadhum, Mohamed Ali
Kan Yan Chloe, Li
Long, Miao
Michalak, Aleksandra
Pesala, Angeline
Pritazahra, Armalya
Saverimuttu, Shirin C C
Renzhi, Su
Thurlow, Kate E
Lovering, Ruth C
Logie, Colin
Oliferenko, Snezhana
Blake, Judith
Christie, Karen
Corbani, Lori
Dolan, Mary E
Li, Ni
Sitnikov, Dmitry
Smith, Cynthia
Cuzick, Alayne
Seager, James
Cooper, Laurel
Elser, Justin
Jaiswal, Pankaj
Gupta, Parul
Naithani, Sushma
Lera-Ramirez, Manuel
Rutherford, Kim
Wood, Valerie
De Pons, Jeffrey L
Dwinell, Melinda R
Hayman, G Thomas
Kaldunski, Mary L
Kwitek, Anne E
Laulederkind, Stanley J F
Tutaj, Marek A
Vedi, Mahima
Wang, Shur-Jen
D’Eustachio, Peter
Aimo, Lucila
Axelsen, Kristian
Bridge, Alan
Hyka-Nouspikel, Nevila
Morgat, Anne
Engel, Stacia R
Karra, Kalpana
Miyasato, Stuart R
Nash, Robert S
Skrzypek, Marek S
Weng, Shuai
Wong, Edith D
Bakker, Erika
Berardini, Tanya Z
Reiser, Leonore
Auchincloss, Andrea
Argoud-Puy, Ghislaine
Blatter, Marie-Claude
Boutet, Emmanuel
Breuza, Lionel
Casals-Casas, Cristina
Coudert, Elisabeth
Estreicher, Anne
Famiglietti, Maria Livia
Gos, Arnaud
Gruaz-Gumowski, Nadine
Hulo, Chantal
Jungo, Florence
Le Mercier, Philippe
Lieberherr, Damien
Masson, Patrick
Pedruzzi, Ivo
Pourcel, Lucille
Poux, Sylvain
Rivoire, Catherine
Sundaram, Shyamala
Bateman, Alex
Bowler-Barnett, Emily
Bye-A-Jee, Hema
Denny, Paul
Ignatchenko, Alexandr
Ishtiaq, Rizwan
Lock, Antonia
Lussi, Yvonne
Magrane, Michele
Martin, Maria J
Orchard, Sandra
Raposo, Pedro
Speretta, Elena
Tyagi, Nidhi
Warner, Kate
Zaru, Rossana
Diehl, Alexander D
Chan, Juancarlos
Diamantakis, Stavros
Raciti, Daniela
Zarowiecki, Magdalena
Fisher, Malcolm
James-Zorn, Christina
Ponferrada, Virgilio
Zorn, Aaron
Ramachandran, Sridhar
Ruzicka, Leyla
Westerfield, Monte
Source :
Genetics (Austin), 224, 1-14, Genetics (Austin), 224, 1, pp. 1-14
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.

Details

ISSN :
00166731
Volume :
224
Database :
OpenAIRE
Journal :
Genetics (Austin)
Accession number :
edsair.doi.dedup.....adc4fe0a4910ceb93e8e5be770303213