Interplay in the Computational Analysis of Genomic Regulatory Sequences and Microarray Expression Data

Title: Interplay in the Computational Analysis of Genomic Regulatory Sequences and Microarray Expression Data

Volume: 5 Issue: 5

Author(s): Chiara Sabatti

Affiliation:

Keywords: computational analysis, genomic regulatory sequences, microarray expression data, gene expression microarrays

Abstract: Since the appearance of gene expression microarrays, the data produced has been used to guide the discovery of regulatory protein binding sites in the sequence upstream genes. In some instances, novel motifs have been discovered in the promoter region of genes with similar expression patterns. An other group of articles suggests the use of expression microarray data to sort through long lists of putative motifs. A common denominator of these studies is that expression, as measured through microarray, is used to better understand sequence information. Recently, a new trend seems to appear: using sequence information to better analyze the results of microarray experiments. What are the options currently available for the researcher?

Cite this article as:

Sabatti Chiara, Interplay in the Computational Analysis of Genomic Regulatory Sequences and Microarray Expression Data, Current Genomics 2004; 5 (5) . https://dx.doi.org/10.2174/1389202043349084