Home LiteratureArticle Details
PMID: 17098774 Published · ppublish English Journal Article

Using GOstats to test gene lists for GO term association.

Bioinformatics (Oxford, England) ·Vol. 23 ·No. 2 ·2007-01-15 ·Pages 257-8

Falcon S, Gentleman R

Abstract

Functional analyses based on the association of Gene Ontology (GO) terms to genes in a selected gene list are useful bioinformatic tools and the GOstats package has been widely used to perform such computations. In this paper we report significant improvements and extensions such as support for conditional testing. We discuss the capabilities of GOstats, a Bioconductor package written in R, that allows users to test GO terms for over or under-representation using either a classical hypergeometric test or a conditional hypergeometric that uses the relationships among GO terms to decorrelate the results. GOstats is available as an R package from the Bioconductor project: http://bioconductor.org

MeSH Terms
Algorithms Data Interpretation, Statistical Database Management Systems Databases, Protein Gene Expression Profiling/methods Information Storage and Retrieval/methods Natural Language Processing Proteins/chemistry,classification,metabolism Software Terminology as Topic
Chemicals
Proteins
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Falcon S
Fred Hutchison Cancer Research Center, Program Computational Biology,1100 Fairview Avenue North P. O. Box 19024, Seattle, WA 98109, USA. sfalcon@fhcrc.org
Gentleman R
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2007-01-15
Epub
2006-00-10
Pages
257-8
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com