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FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and
Fátima Al-Shahrour1, Pablo Minguez, Joaquín Tárraga
1Bioinformatics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia 46013, Spain.
Nucleic Acids Research
|May 5, 2007
Summary
FatiGO+ is a web tool for functional profiling of genome-scale experiments, enhancing data interpretation. It integrates diverse functional, regulatory, and structural information for comprehensive analysis.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Functional interpretation of genome-scale experimental data is crucial for hypothesis validation.
- Existing methods for functional profiling, such as those used in microarray and proteomics experiments, require enhancement.
- Integrating diverse data types can improve the depth of functional analysis.
Purpose of the Study:
- To present FatiGO+, a novel web-based tool for the functional profiling of genome-scale experiments.
- To enhance the interpretation of microarray data by incorporating regulatory and structural information.
- To provide a comprehensive platform for analyzing functional enrichment on chromosomal coordinates.
Main Methods:
- FatiGO+ integrates gene ontology, KEGG pathways, Interpro motifs, and Swissprot keywords.
- It incorporates predicted regulatory information, including transcription factor targets (Transfac, CisRed) and miRNA targets.
- Structural information, such as gene product location and interactome connections, is also utilized.
Main Results:
- FatiGO+ offers a unified platform for diverse functional annotations.
- The tool uniquely integrates regulatory and structural data for deeper biological insights.
- Enrichment analysis can be performed directly on chromosomal coordinates.
Conclusions:
- FatiGO+ significantly advances functional profiling of genome-scale data, particularly for microarrays.
- The integration of regulatory and structural information provides a more holistic interpretation.
- The tool is accessible via http://www.fatigoplus.org and the Babelomics environment.
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