A suite of web-based programs to search for transcriptional regulatory motifs
Author(s) -
Ying Liu,
Liping Wei,
Serafim Batzoglou,
Douglas L. Brutlag,
Jun S. Liu,
X. S. Liu
Publication year - 2004
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkh461
Subject(s) - biology , executable , web server , computational biology , suite , regulatory sequence , gene , genetics , sequence motif , genomics , identification (biology) , conserved sequence , regulation of gene expression , genome , the internet , computer science , peptide sequence , world wide web , programming language , history , botany , archaeology
The identification of regulatory motifs is important for the study of gene expression. Here we present a suite of programs that we have developed to search for regulatory sequence motifs: (i) BioProspector, a Gibbs-sampling-based program for predicting regulatory motifs from co-regulated genes in prokaryotes or lower eukaryotes; (ii) CompareProspector, an extension to BioProspector which incorporates comparative genomics features to be used for higher eukaryotes; (iii) MDscan, a program for finding protein-DNA interaction sites from ChIP-on-chip targets. All three programs examine a group of sequences that may share common regulatory motifs and output a list of putative motifs as position-specific probability matrices, the individual sites used to construct the motifs and the location of each site on the input sequences. The web servers and executables can be accessed at http://seqmotifs.stanford.edu.
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