@article{103,
  keywords = {Gene Ontology, gene annotation, gene function, knowledge graphs, knowledgebase},
  author = {Gene Consortium and Suzi Aleksander and James Balhoff and Seth Carbon and Michael Cherry and Harold Drabkin and Dustin Ebert and Marc Feuermann and Pascale Gaudet and Nomi Harris and David Hill and Raymond Lee and Huaiyu Mi and Sierra Moxon and Christopher Mungall and Anushya Muruganugan and Tremayne Mushayahama and Paul Sternberg and Paul Thomas and Kimberly Van Auken and Jolene Ramsey and Deborah Siegele and Rex Chisholm and Petra Fey and Maria Aspromonte and Maria Nugnes and Federica Quaglia and Silvio Tosatto and Michelle Giglio and Suvarna Nadendla and Giulia Antonazzo and Helen Attrill and Gil Santos and Steven Marygold and Victor Strelets and Christopher Tabone and Jim Thurmond and Pinglei Zhou and Saadullah Ahmed and Praoparn Asanitthong and Diana Buitrago and Meltem Erdol and Matthew Gage and Mohamed Kadhum and Kan Li and Miao Long and Aleksandra Michalak and Angeline Pesala and Armalya Pritazahra and Shirin Saverimuttu and Renzhi Su and Kate Thurlow and Ruth Lovering and Colin Logie and Snezhana Oliferenko and Judith Blake and Karen Christie and Lori Corbani and Mary Dolan and Harold Drabkin and David Hill and Li Ni and Dmitry Sitnikov and Cynthia Smith and Alayne Cuzick and James Seager and Laurel Cooper and Justin Elser and Pankaj Jaiswal and Parul Gupta and Pankaj Jaiswal and Sushma Naithani and Manuel Lera-Ramirez and Kim Rutherford and Valerie Wood and Jeffrey De Pons and Melinda Dwinell and Thomas Hayman and Mary Kaldunski and Anne Kwitek and Stanley Laulederkind and Marek Tutaj and Mahima Vedi and Shur-Jen Wang and Peter D'Eustachio and Lucila Aimo and Kristian Axelsen and Alan Bridge and Nevila Hyka-Nouspikel and Anne Morgat and Suzi Aleksander and Michael Cherry and Stacia Engel and Kalpana Karra and Stuart Miyasato and Robert Nash and Marek Skrzypek and Shuai Weng and Edith Wong and Erika Bakker and Tanya Berardini and Leonore Reiser and Andrea Auchincloss and Kristian Axelsen and Ghislaine Argoud-Puy and Marie-Claude Blatter and Emmanuel Boutet and Lionel Breuza and Alan Bridge and Cristina Casals-Casas and Elisabeth Coudert and Anne Estreicher and Maria Famiglietti and Marc Feuermann and Arnaud Gos and Nadine Gruaz-Gumowski and Chantal Hulo and Nevila Hyka-Nouspikel and Florence Jungo and Philippe Le Mercier and Damien Lieberherr and Patrick Masson and Anne Morgat and Ivo Pedruzzi and Lucille Pourcel and Sylvain Poux and Catherine Rivoire and Shyamala Sundaram and Alex Bateman and Emily Bowler-Barnett and Hema Bye-A-Jee and Paul Denny and Alexandr Ignatchenko and Rizwan Ishtiaq and Antonia Lock and Yvonne Lussi and Michele Magrane and Maria Martin and Sandra Orchard and Pedro Raposo and Elena Speretta and Nidhi Tyagi and Kate Warner and Rossana Zaru and Alexander Diehl and Raymond Lee and Juancarlos Chan and Stavros Diamantakis and Daniela Raciti and Magdalena Zarowiecki and Malcolm Fisher and Christina James-Zorn and Virgilio Ponferrada and Aaron Zorn and Sridhar Ramachandran and Leyla Ruzicka and Monte Westerfield},
  title = {The Gene Ontology knowledgebase in 2023.},
  abstract = {<p>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.</p>},
  year = {2023},
  journal = {Genetics},
  volume = {224},
  month = {05/2023},
  issn = {1943-2631},
  doi = {10.1093/genetics/iyad031},
  language = {eng},
}