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Cited by 473

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Characterizing gene sets with FuncAssociate

Open access
Berriz, Gabriel F., King, Oliver D., Bryant, Barbara, Sander, Chris, Roth, Frederick P.·2003·Bioinformatics

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 S̆idák 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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Metadata

Authors
Berriz, G. F., King, O. D., Bryant, B., Sander, C., & Roth, F. P.
Venue
Bioinformatics
Published
2003-12-12
Volume
19
Issue
18
Pages
2502-2504
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2151763757
Cited by
473
References
1
FWCI
6.00
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Characterizing gene sets with FuncAssociate. https://app.cochat.ai/papers/10.1093/bioinformatics/btg363
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Berriz, G. F., King, O. D., Bryant, B., Sander, C., & Roth, F. P. (2003). Characterizing gene sets with FuncAssociate. Bioinformatics. https://doi.org/10.1093/bioinformatics/btg363

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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