Literature DB >> 18819077

The Gene Ontology (GO) project: structured vocabularies for molecular biology and their application to genome and expression analysis.

Judith A Blake1, Midori A Harris.   

Abstract

Scientists wishing to utilize genomic data have quickly come to realize the benefit of standardizing descriptions of experimental procedures and results for computer-driven information retrieval systems. The focus of the Gene Ontology project is three-fold. First, the project goal is to compile the Gene Ontologies: structured vocabularies describing domains of molecular biology. Second, the project supports the use of these structured vocabularies in the annotation of gene products. Third, the gene product-to-GO annotation sets are provided by participating groups to the public through open access to the GO database and Web resource. This unit describes the current ontologies and what is beyond the scope of the Gene Ontology project. It addresses the issue of how GO vocabularies are constructed and related to genes and gene products. It concludes with a discussion of how researchers can access, browse, and utilize the GO project in the course of their own research. Copyright 2008 by John Wiley & Sons, Inc.

Mesh:

Year:  2008        PMID: 18819077     DOI: 10.1002/0471250953.bi0702s23

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  40 in total

1.  Microarray-based analysis of cell-cycle gene expression during spermatogenesis in the mouse.

Authors:  Dipanwita Roy Choudhury; Chris Small; Yufeng Wang; Paul R Mueller; Vivienne I Rebel; Michael D Griswold; John R McCarrey
Journal:  Biol Reprod       Date:  2010-07-14       Impact factor: 4.285

Review 2.  The Renal Gene Ontology Annotation Initiative.

Authors:  Yasmin Alam-Faruque; Emily C Dimmer; Rachael P Huntley; Claire O'Donovan; Peter Scambler; Rolf Apweiler
Journal:  Organogenesis       Date:  2010 Apr-Jun       Impact factor: 2.500

3.  Modeling sample variables with an Experimental Factor Ontology.

Authors:  James Malone; Ele Holloway; Tomasz Adamusiak; Misha Kapushesky; Jie Zheng; Nikolay Kolesnikov; Anna Zhukova; Alvis Brazma; Helen Parkinson
Journal:  Bioinformatics       Date:  2010-03-03       Impact factor: 6.937

4.  Novel identification of STAT1 as a crucial mediator of ETV6-NTRK3-induced tumorigenesis.

Authors:  Jinah Park; Junil Kim; Bora Park; Kyung-Min Yang; Eun Jin Sun; Cristina E Tognon; Poul H Sorensen; Seong-Jin Kim
Journal:  Oncogene       Date:  2018-02-02       Impact factor: 9.867

Review 5.  The mammalian phenotype ontology: enabling robust annotation and comparative analysis.

Authors:  Cynthia L Smith; Janan T Eppig
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

6.  Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia.

Authors:  Xinan Yang; Yong Huang; James L Chen; Jianming Xie; Xiao Sun; Yves A Lussier
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

7.  The teleost anatomy ontology: anatomical representation for the genomics age.

Authors:  Wasila M Dahdul; John G Lundberg; Peter E Midford; James P Balhoff; Hilmar Lapp; Todd J Vision; Melissa A Haendel; Monte Westerfield; Paula M Mabee
Journal:  Syst Biol       Date:  2010-03-29       Impact factor: 15.683

8.  OryGenesDB 2008 update: database interoperability for functional genomics of rice.

Authors:  Gaëtan Droc; Christophe Périn; Sébastien Fromentin; Pierre Larmande
Journal:  Nucleic Acids Res       Date:  2008-11-26       Impact factor: 16.971

9.  How to get the most out of your curation effort.

Authors:  Andrey Rzhetsky; Hagit Shatkay; W John Wilbur
Journal:  PLoS Comput Biol       Date:  2009-05-22       Impact factor: 4.475

10.  The rat genome database curators: who, what, where, why.

Authors:  Mary Shimoyama; G Thomas Hayman; Stanley J F Laulederkind; Rajni Nigam; Timothy F Lowry; Victoria Petri; Jennifer R Smith; Shur-Jen Wang; Diane H Munzenmaier; Melinda R Dwinell; Simon N Twigger; Howard J Jacob
Journal:  PLoS Comput Biol       Date:  2009-11-26       Impact factor: 4.475

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