We describe MotifScorer, a program for systematic genome-wide identification of transcription sites. The program uses a compendium of gene expression microarrays and implements state-of-art partial least squares (PLSs) based regression and stepwise regression procedures. Candidate motifs from the upstream sequences of groups of co-regulated genes are identified and assigned a score using genomic background models and available motif finding tools. The use of a large library of expression data allows statistical comparative analysis of the specificity of motifs identified in different conditions.

MotifScorer: using a compendium of microarrays to identify regulatory motifs / M. Brilli, R. Fani, P. Lio. - In: BIOINFORMATICS. - ISSN 1367-4803. - 23:4(2007), pp. 493-495.

MotifScorer: using a compendium of microarrays to identify regulatory motifs

BRILLI M;
2007

Abstract

We describe MotifScorer, a program for systematic genome-wide identification of transcription sites. The program uses a compendium of gene expression microarrays and implements state-of-art partial least squares (PLSs) based regression and stepwise regression procedures. Candidate motifs from the upstream sequences of groups of co-regulated genes are identified and assigned a score using genomic background models and available motif finding tools. The use of a large library of expression data allows statistical comparative analysis of the specificity of motifs identified in different conditions.
Bindings-sites; elements; matlab
Settore BIO/18 - Genetica
Settore BIO/19 - Microbiologia Generale
Settore BIO/11 - Biologia Molecolare
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/614281
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