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Nucleic Acids Research Advance Access originally published online on May 3, 2007
Nucleic Acids Research 2007 35(Web Server issue):W91-W96; doi:10.1093/nar/gkm260
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W91-W96
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Articles

FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments

Fátima Al-Shahrour1, Pablo Minguez1, Joaquín Tárraga1,2, Ignacio Medina1, Eva Alloza1, David Montaner1,2 and Joaquín Dopazo1,2,*

1Bioinformatics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia 46013, Spain and 2Functional Genomics Node, INB, CIPF, Valencia 46013, Spain

*To whom correspondence should be addressed. Tel: +34 963289680; Fax: +34 963289701; Email: jdopazo{at}cipf.es

Received January 30, 2007. Revised March 27, 2007. Accepted April 8, 2007.

The ultimate goal of any genome-scale experiment is to provide a functional interpretation of the data, relating the available information with the hypotheses that originated the experiment. Thus, functional profiling methods have become essential in diverse scenarios such as microarray experiments, proteomics, etc. We present the FatiGO+, a web-based tool for the functional profiling of genome-scale experiments, specially oriented to the interpretation of microarray experiments. In addition to different functional annotations (gene ontology, KEGG pathways, Interpro motifs, Swissprot keywords and text-mining based bioentities related to diseases and chemical compounds) FatiGO+ includes, as a novelty, regulatory and structural information. The regulatory information used includes predictions of targets for distinct regulatory elements (obtained from the Transfac and CisRed databases). Additionally FatiGO+ uses predictions of target motifs of miRNA to infer which of these can be activated or deactivated in the sample of genes studied. Finally, properties of gene products related to their relative location and connections in the interactome have also been used. Also, enrichment of any of these functional terms can be directly analysed on chromosomal coordinates. FatiGO+ can be found at: http://www.fatigoplus.org and within the Babelomics environment http://www.babelomics.org


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