TY - JOUR
KW - Gene Ontology
KW - gene annotation
KW - gene function
KW - knowledge graphs
KW - knowledgebase
AU - Gene Consortium
AU - Suzi Aleksander
AU - James Balhoff
AU - Seth Carbon
AU - Michael Cherry
AU - Harold Drabkin
AU - Dustin Ebert
AU - Marc Feuermann
AU - Pascale Gaudet
AU - Nomi Harris
AU - David Hill
AU - Raymond Lee
AU - Huaiyu Mi
AU - Sierra Moxon
AU - Christopher Mungall
AU - Anushya Muruganugan
AU - Tremayne Mushayahama
AU - Paul Sternberg
AU - Paul Thomas
AU - Kimberly Van Auken
AU - Jolene Ramsey
AU - Deborah Siegele
AU - Rex Chisholm
AU - Petra Fey
AU - Maria Aspromonte
AU - Maria Nugnes
AU - Federica Quaglia
AU - Silvio Tosatto
AU - Michelle Giglio
AU - Suvarna Nadendla
AU - Giulia Antonazzo
AU - Helen Attrill
AU - Gil Santos
AU - Steven Marygold
AU - Victor Strelets
AU - Christopher Tabone
AU - Jim Thurmond
AU - Pinglei Zhou
AU - Saadullah Ahmed
AU - Praoparn Asanitthong
AU - Diana Buitrago
AU - Meltem Erdol
AU - Matthew Gage
AU - Mohamed Kadhum
AU - Kan Li
AU - Miao Long
AU - Aleksandra Michalak
AU - Angeline Pesala
AU - Armalya Pritazahra
AU - Shirin Saverimuttu
AU - Renzhi Su
AU - Kate Thurlow
AU - Ruth Lovering
AU - Colin Logie
AU - Snezhana Oliferenko
AU - Judith Blake
AU - Karen Christie
AU - Lori Corbani
AU - Mary Dolan
AU - Harold Drabkin
AU - David Hill
AU - Li Ni
AU - Dmitry Sitnikov
AU - Cynthia Smith
AU - Alayne Cuzick
AU - James Seager
AU - Laurel Cooper
AU - Justin Elser
AU - Pankaj Jaiswal
AU - Parul Gupta
AU - Pankaj Jaiswal
AU - Sushma Naithani
AU - Manuel Lera-Ramirez
AU - Kim Rutherford
AU - Valerie Wood
AU - Jeffrey De Pons
AU - Melinda Dwinell
AU - Thomas Hayman
AU - Mary Kaldunski
AU - Anne Kwitek
AU - Stanley Laulederkind
AU - Marek Tutaj
AU - Mahima Vedi
AU - Shur-Jen Wang
AU - Peter D'Eustachio
AU - Lucila Aimo
AU - Kristian Axelsen
AU - Alan Bridge
AU - Nevila Hyka-Nouspikel
AU - Anne Morgat
AU - Suzi Aleksander
AU - Michael Cherry
AU - Stacia Engel
AU - Kalpana Karra
AU - Stuart Miyasato
AU - Robert Nash
AU - Marek Skrzypek
AU - Shuai Weng
AU - Edith Wong
AU - Erika Bakker
AU - Tanya Berardini
AU - Leonore Reiser
AU - Andrea Auchincloss
AU - Kristian Axelsen
AU - Ghislaine Argoud-Puy
AU - Marie-Claude Blatter
AU - Emmanuel Boutet
AU - Lionel Breuza
AU - Alan Bridge
AU - Cristina Casals-Casas
AU - Elisabeth Coudert
AU - Anne Estreicher
AU - Maria Famiglietti
AU - Marc Feuermann
AU - Arnaud Gos
AU - Nadine Gruaz-Gumowski
AU - Chantal Hulo
AU - Nevila Hyka-Nouspikel
AU - Florence Jungo
AU - Philippe Le Mercier
AU - Damien Lieberherr
AU - Patrick Masson
AU - Anne Morgat
AU - Ivo Pedruzzi
AU - Lucille Pourcel
AU - Sylvain Poux
AU - Catherine Rivoire
AU - Shyamala Sundaram
AU - Alex Bateman
AU - Emily Bowler-Barnett
AU - Hema Bye-A-Jee
AU - Paul Denny
AU - Alexandr Ignatchenko
AU - Rizwan Ishtiaq
AU - Antonia Lock
AU - Yvonne Lussi
AU - Michele Magrane
AU - Maria Martin
AU - Sandra Orchard
AU - Pedro Raposo
AU - Elena Speretta
AU - Nidhi Tyagi
AU - Kate Warner
AU - Rossana Zaru
AU - Alexander Diehl
AU - Raymond Lee
AU - Juancarlos Chan
AU - Stavros Diamantakis
AU - Daniela Raciti
AU - Magdalena Zarowiecki
AU - Malcolm Fisher
AU - Christina James-Zorn
AU - Virgilio Ponferrada
AU - Aaron Zorn
AU - Sridhar Ramachandran
AU - Leyla Ruzicka
AU - Monte Westerfield
AB - <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>
BT - Genetics
C1 - https://www.ncbi.nlm.nih.gov/pubmed/36866529
DA - 05/2023
DO - 10.1093/genetics/iyad031
IS - 1
J2 - Genetics
LA - eng
N2 - <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>
PY - 2023
T2 - Genetics
TI - The Gene Ontology knowledgebase in 2023.
VL - 224
SN - 1943-2631
ER -