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December 10, 2003Bioinformatics477 citationsOpen Access

Characterizing gene sets with FuncAssociate

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GBGabriel F. BerrizOKOliver D. KingBBBarbara M. Bryant

Key Points

  • The aim is to describe FuncAssociate, a tool designed for characterizing gene sets through Gene Ontology.
  • Web-based tool enabling analysis of gene sets from experiments
  • Handles ranked input lists and employs Monte Carlo simulation for significance determination
  • Supports analysis for 10 different organisms including humans and other model species.
  • FuncAssociate outperforms traditional significance testing methods like Bonferroni correction.
  • Provides accessible web interface and free source code for academic users.

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 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). AVAILABILITY: 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'.

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Cite This Study

Berriz et al. (2003) studied this question.

synapsesocial.com/papers/6a06eb42d9167a9c2a5836c1https://doi.org/10.1093/bioinformatics/btg363
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