2004
DOI: 10.1093/bioinformatics/btg455
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FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes

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 yea… Show more

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Cited by 989 publications
(822 citation statements)
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“…Computations and visualization were done with Cluster and TreeView software (Eisen et al, 1998), and with BRB ArrayTools v3.6.0b2 developed by Dr Richard Simon and Amy Peng Lam. The biological activity of genes with known functions was determined using the web tool FatiGO with the Gene Ontology database (Al-Shahrour et al, 2004).…”
Section: Data Analysis and Statistical Methodsmentioning
confidence: 99%
“…Computations and visualization were done with Cluster and TreeView software (Eisen et al, 1998), and with BRB ArrayTools v3.6.0b2 developed by Dr Richard Simon and Amy Peng Lam. The biological activity of genes with known functions was determined using the web tool FatiGO with the Gene Ontology database (Al-Shahrour et al, 2004).…”
Section: Data Analysis and Statistical Methodsmentioning
confidence: 99%
“…We searched for gene ontology terms using the FatiGO tool on the Babelomics 5 platform (http://babelomics.bioinfo.cipf.es/). FatiGO 75 is an enrichment test whereby two lists of genes are compared to detect significant over-representation of functional annotations in the subject compared with the reference list. In this case, we compared the set of the 69 genes (Supplementary Table 4) associated with the 346 depth-correlated outlier SNPs detected from the Manhattan plot analyses and found within 30 kilobases of a coding gene, against the full list of 15,114 genes identified from our C. rupestris genome annotation that were associated with gene name, gene description and gene ontology terms using InterProScan.…”
Section: Screening Of Nine Populations For Outlier Snps On Contig 1041mentioning
confidence: 99%
“…bioinfo.cnio.es/; (Al-Shahrour et al, 2004)). Clusters of invasion correlated genes according to their 'Biological Process' GO terms were shown in Supplement 5.…”
Section: Establishment Of Invasion Model With Progressive Increase Inmentioning
confidence: 99%