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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn / Kormeier, Benjamin

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan

4 Issues per year

Open Access
Online
ISSN
1613-4516
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Volume 3, Issue 2

Issues

Co-expressed gene groups analysis (CGGA): An automatic tool for the interpretation of microarray experiments

Ricardo Martinez / Nicolas Pasquier / Martine Collard / Claude Pasquier / Lucero Lopez-Perez
Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2006-37

Summary

Microarray technology produces vast amounts of data by measuring simultaneously the expression levels of thousands of genes under hundreds of biological conditions. Nowadays, one of the principal challenges in bioinformatics is the interpretation of this large amount of data using different sources of information. We have developed a novel data analysis method named CGGA (Co-expressed Gene Groups Analysis) that automatically finds groups of genes that are functionally enriched, i.e. have the same functional annotations, and are co-expressed. CGGA automatically integrates the information of microarrays, i.e. gene expression profiles, with the functional annotations of the genes obtained by the genome-wide information sources such as Gene Ontology. By applying CGGA to wellknown microarray experiments, we have identified the principal functionally enriched and co-expressed gene groups, and we have shown that this approach enhances and accelerates the interpretation of DNA microarray experiments.

Keywords: Microarray; Ontology; Co-expression; Genes and Functional Annotations

About the article

Published Online: 2016-10-18

Published in Print: 2006-12-01


Citation Information: Journal of Integrative Bioinformatics, Volume 3, Issue 2, Pages 188–198, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2006-37.

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© 2006 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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