Name
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 Sidak 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). |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1093/bioinformatics/btg363 | BIOINFORMATICS |
Keywords | Field | DocType |
monte carlo simulation,simulation,bacteria,bioinformatics,gen,gene,thallophyta,method,source code | Drosophilidae,Data mining,Homo sapiens,Gene,Bonferroni correction,Biology,Botany,Schizosaccharomyces pombe,Shewanella oneidensis,Computational biology,Drosophila melanogaster,Perl | Journal |
Volume | Issue | ISSN |
19 | 18.0 | 1367-4803 |
Citations | PageRank | References |
147 | 16.35 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel F. Berriz | 1 | 193 | 19.86 |
| Oliver D. King | 2 | 325 | 34.93 |
| Barbara Bryant | 3 | 147 | 16.69 |
| Chris Sander | 4 | 147 | 16.35 |
| Frederick P Roth | 5 | 345 | 34.18 |