---

Al-Shahrour F, et al.  (2004) FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics 20(4):578-80

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.

Status: Published

Type: Journal Article

PubMed ID: 14990455

---

Author Searches

To find contact information or other publications by the authors of this paper, follow these three steps:

1. (1) Choose an author,
2. (2) Choose a search parameter,
3. (3) Click to implement

Al-Shahrour F Diaz-Uriarte R Dopazo J Papers in SGD Colleagues in SGD PubMed Google Scholar

---