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Next station in microarray data analysis: GEPAS.

David Montaner1, Joaquín Tárraga, Jaime Huerta-Cepas

  • 1Bioinformatics Department, Centro de Investigación Príncipe Felipe, Autopista del Saler 16, E46013, Valencia, Spain.

Nucleic Acids Research
|July 18, 2006
PubMed
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The Gene Expression Profile Analysis Suite (GEPAS) offers a powerful, user-friendly web interface for comprehensive microarray data analysis. It supports preprocessing, functional annotation, and various analytical methods, serving researchers globally.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray data analysis is complex and rapidly evolving.
  • There is a need for accessible and comprehensive tools for gene expression profiling.

Purpose of the Study:

  • To present the Gene Expression Profile Analysis Suite (GEPAS) as a robust web-based platform for microarray analysis.
  • To highlight the evolution and diverse functionalities of GEPAS.

Main Methods:

  • GEPAS provides a web-based pipeline for microarray gene expression data.
  • Includes preprocessing (normalization for Affymetrix and two-colour arrays).
  • Offers functional annotation (Gene Ontology, pathways, PubMed), clustering, gene selection, class prediction, and CGH management.

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Main Results:

  • GEPAS has been operational for over four years, demonstrating sustained utility.
  • The platform supports diverse analysis options from preprocessing to functional annotation.
  • Achieves an average usage rate of 400 experiments per day from international researchers.

Conclusions:

  • GEPAS is an extensively used, evolving, and powerful web-based tool for microarray data analysis.
  • Its comprehensive features and intuitive interface meet the demands of modern gene expression research.
  • The platform facilitates global research collaboration in genomics.