학술논문

The Gene Ontology resource: enriching a GOld mine
Document Type
article
Author
Carbon, SethDouglass, EricGood, Benjamin MUnni, Deepak RHarris, Nomi LMungall, Christopher JBasu, SiddarthaChisholm, Rex LDodson, Robert JHartline, EricFey, PetraThomas, Paul DAlbou, Laurent-PhilippeEbert, DustinKesling, Michael JMi, HuaiyuMuruganujan, AnushyaHuang, XiaosongMushayahama, TremayneLaBonte, Sandra ASiegele, Deborah AAntonazzo, GiuliaAttrill, HelenBrown, Nick HGarapati, PhaniMarygold, Steven JTrovisco, Vitordos Santos, GilFalls, KathleenTabone, ChristopherZhou, PingleiGoodman, Joshua LStrelets, Victor BThurmond, JimGarmiri, PenelopeIshtiaq, RizwanRodríguez-López, MilagrosAcencio, Marcio LKuiper, MartinLægreid, AstridLogie, ColinLovering, Ruth CKramarz, BarbaraSaverimuttu, Shirin CCPinheiro, Sandra MGunn, HeatherSu, RenzhiThurlow, Katherine EChibucos, MarcusGiglio, MichelleNadendla, SuvarnaMunro, JamesJackson, RebeccaDuesbury, Margaret JDel-Toro, NoemiMeldal, Birgit HMPaneerselvam, KalpanaPerfetto, LiviaPorras, PabloOrchard, SandraShrivastava, AnjaliChang, Hsin-YuFinn, Robert DanielMitchell, Alexander LawsonRawlings, Neil DavidRichardson, LornaSangrador-Vegas, AmaiaBlake, Judith AChristie, Karen RDolan, Mary EDrabkin, Harold JHill, David PNi, LiSitnikov, Dmitry MHarris, Midori AOliver, Stephen GRutherford, KimWood, ValerieHayles, JaquelineBähler, JürgBolton, Elizabeth RDe Pons, Jeffery LDwinell, Melinda RHayman, G ThomasKaldunski, Mary LKwitek, Anne ELaulederkind, Stanley JFPlasterer, CodyTutaj, Marek AVedi, MahimaWang, Shur-JenD’Eustachio, PeterMatthews, LisaBalhoff, James PAleksander, Suzi AAlexander, Michael JCherry, J MichaelEngel, Stacia RGondwe, FelixKarra, Kalpana
Source
Nucleic Acids Research. 49(D1)
Subject
Biological Sciences
Bioinformatics and Computational Biology
Genetics
2.6 Resources and infrastructure (aetiology)
Aetiology
Animals
Arabidopsis
Caenorhabditis elegans
Dictyostelium
Drosophila melanogaster
Escherichia coli
Gene Ontology
Humans
Internet
Mice
Molecular Sequence Annotation
Rats
Saccharomyces cerevisiae
Schizosaccharomyces
User-Computer Interface
Zebrafish
Gene Ontology Consortium
Environmental Sciences
Information and Computing Sciences
Developmental Biology
Biological sciences
Chemical sciences
Environmental sciences
Language
Abstract
The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations.