Characterizing gene sets with FuncAssociate Journal Article


Authors: Berriz, G. F.; King, O. D.; Bryant, B.; Sander, C.; Roth, F. P.
Article Title: Characterizing gene sets with FuncAssociate
Abstract: Summary: 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 Šidák 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).
Keywords: nonhuman; sensitivity and specificity; genetic analysis; proteins; reproducibility of results; mouse; gene expression profiling; internet; algorithms; information processing; databases, protein; mus musculus; statistical significance; saccharomyces cerevisiae; rat; intermethod comparison; species difference; computer simulation; rats; nomenclature; caenorhabditis elegans; drosophila melanogaster; computer program; software; monte carlo method; sequence analysis, protein; schizosaccharomyces pombe; arabidopsis; vibrio cholerae; melanogaster; terminology; arabidopsis thaliana; natural language processing; information storage and retrieval; database management systems; homo sapiens; priority journal; article; shewanella oneidensis; musculus; rattus norvegicus
Journal Title: Bioinformatics
Volume: 19
Issue: 18
ISSN: 1367-4803
Publisher: Oxford University Press  
Date Published: 2003-12-12
Start Page: 2502
End Page: 2504
Language: English
DOI: 10.1093/bioinformatics/btg363
PUBMED: 14668247
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 12 September 2014 -- Source: Scopus
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  1. Chris Sander
    210 Sander