| Title | FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes |
| Publication Type | Journal Article |
| Year of Publication | 2004 |
| Authors | Al-Shahrour, F, Diaz-Uriarte, R, Dopazo, J |
| Journal | Bioinformatics |
| Volume | 20 |
| Pagination | 578-80 |
| Keywords | *Algorithms Artificial Intelligence Databases; babelomics; DNA/*methods *Software; Genetic Gene Expression Profiling/*methods *Hypermedia Information Storage and Retrieval/*methods *Internet *Phylogeny Sequence Alignment/methods Sequence Analysis |
| Abstract | We present a simple but powerful procedure to extract Gene Ontology (GO) terms that are significantly over- or under-represented in sets of genes within the context of a genome-scale experiment (DNA microarray, proteomics, etc.). Said procedure has been implemented as a web application, FatiGO, allowing for easy and interactive querying. FatiGO, which takes the multiple-testing nature of statistical contrast into account, currently includes GO associations for diverse organisms (human, mouse, fly, worm and yeast) and the TrEMBL/Swissprot GOAnnotations@EBI correspondences from the European Bioinformatics Institute. |
| Notes | Al-Shahrour, Fatima Diaz-Uriarte, Ramon Dopazo, Joaquin England Bioinformatics (Oxford, England) Bioinformatics. 2004 Mar 1;20(4):578-80. Epub 2004 Jan 22. |
| URL | http://bioinformatics.oxfordjournals.org/content/20/4/578.abstract |
