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MotifScorer: using a compendium of microarrays to identify regulatory motifs
Author(s) -
Matteo Brilli,
Renato Fani,
Píetro Lió
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl607
Subject(s) - compendium , dna microarray , computational biology , java , computer science , identification (biology) , data mining , biology , genetics , bioinformatics , gene , gene expression , programming language , geography , botany , archaeology
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.

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