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Dataset Information

Analysis of promoter regions of co-expressed genes identified by microarray analysis.


ABSTRACT:

Background

The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biological processes. A logical and systematic approach to study co-expressed genes is to analyze their promoter sequences to identify transcription factors that may be involved in establishing specific profiles and that may be experimentally investigated.

Results

We introduce promoter clustering i.e. grouping of promoters with respect to their high scoring motif content, and show that this approach greatly enhances the identification of common and significant transcription factor binding sites (TFBS) in co-expressed genes. We apply this method to two different dataset, one consisting of micro array data

SUBMITTER: Veerla S 

PROVIDER: S-EPMC1560170 | biostudies-literature | 2006 Aug

REPOSITORIES: biostudies-literature