Summary: 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. Availability: MotifScorer, which is written in Java and Matlab, manual and example files are available from the authors.

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

Motifscorer: using a compendium of microarrays to identify regulatory motifs

FANI, RENATO;
2007

Abstract

Summary: 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. Availability: MotifScorer, which is written in Java and Matlab, manual and example files are available from the authors.
2007
4
493
495
M. Brilli; R. Fani; P. Liò
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/252257
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