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PMID: 14668247 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Characterizing gene sets with FuncAssociate.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 18 ·2003-12-12 ·Pages 2502-4

Berriz GF, King OD, Bryant B, Sander C, Roth FP

Abstract

FuncAssociate is a web-based tool to help researchers use Gene Ontology attributes to characterize large sets of genes derived from experiment. Distinguishing features of FuncAssociate include the ability to handle ranked input lists, and a Monte Carlo simulation approach that is more appropriate to determine significance than other methods, such as Bonferroni or idák p-value correction. FuncAssociate currently supports 10 organisms (Vibrio cholerae, Shewanella oneidensis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Arabidopsis thaliana, Caenorhaebditis elegans, Drosophila melanogaster, Mus musculus, Rattus norvegicus and Homo sapiens). FuncAssociate is freely accessible at http://llama.med.harvard.edu/Software.html. Source code (in Perl and C) is freely available to academic users 'as is'.

MeSH Terms
Algorithms Animals Database Management Systems Databases, Protein Gene Expression Profiling/methods Information Storage and Retrieval/methods Natural Language Processing Proteins/chemistry,classification,genetics,metabolism Rats Reproducibility of Results Sensitivity and Specificity Sequence Analysis, Protein/methods Software Terminology as Topic
Chemicals
Proteins
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Berriz Gabriel F
Harvard Medical School, Department of Biological Chemistry and Molecular Pharmacology, 250 Longwood Avenue, Boston, MA 02115, USA.
King Oliver D
Bryant Barbara
Sander Chris
Roth Frederick P
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2003-12-12
Pages
2502-4
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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