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.File | Dimensione | Formato | |
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