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Elsevier, Journal of Biotechnology, 2-3(98), p. 269-283, 2002

DOI: 10.1016/s0168-1656(02)00137-2

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Bioinformatics methods for the analysis of expression arrays: Data clustering and information extraction

Journal article published in 2002 by Javier Tamames, Dominic Clark, Javier Herrero ORCID, Joaquı́n Dopazo ORCID, Christian Blaschke, José M. Fernández ORCID, Juan C. Oliveros ORCID, Alfonso Valencia
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Expression arrays facilitate the monitoring of changes in the expression patterns of large collections of genes. The analysis of expression array data has become a computationally-intensive task that requires the development of bioinformatics technology for a number of key stages in the process, such as image analysis, database storage, gene clustering and information extraction. Here, we review the current trends in each of these areas, with particular emphasis on the development of the related technology being carried out within our groups.