Home LiteratureArticle Details
PMID: 25199791 Published · epublish English Journal Article

Using Weeder, Pscan, and PscanChIP for the Discovery of Enriched Transcription Factor Binding Site Motifs in Nucleotide Sequences.

Current protocols in bioinformatics ·Vol. 47 ·2014-09-08 ·Pages 2.11.1-31

Zambelli F, Pesole G, Pavesi G

Abstract

One of the greatest challenges facing modern molecular biology is understanding the complex mechanisms regulating gene expression. A fundamental step in this process requires the characterization of sequence motifs involved in the regulation of gene expression at transcriptional and post-transcriptional levels. In particular, transcription is modulated by the interaction of transcription factors (TFs) with their corresponding binding sites. Weeder, Pscan, and PscanChIP are software tools freely available for noncommercial users as a stand-alone or Web-based applications for the automatic discovery of conserved motifs in a set of DNA sequences likely to be bound by the same TFs. Input for the tools can be promoter sequences from co-expressed or co-regulated genes (for which Weeder and Pscan are suitable), or regions identified through genome wide ChIP-seq or similar experiments (Weeder and PscanChIP). The motifs are either found by a de novo approach (Weeder) or by using descriptors of the binding specificity of TFs (Pscan and PscanChIP).

Keywords
ChIP-Seq chromatin immunoprecipitation gene expression transcription factor binding sites transcription regulation
MeSH Terms
Binding Sites Chromatin Immunoprecipitation DNA/chemistry,metabolism Gene Expression Regulation Promoter Regions, Genetic Software Transcription Factors/metabolism Transcription, Genetic User-Computer Interface
Chemicals
Transcription Factors DNA
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Zambelli Federico
Dipartimento di Bioscienze, Università di Milano, Italy; Istituto di Biomembrane e Bioenergetica, Consiglio Nazionale delle Ricerche, Bari, Italy.
Pesole Graziano
Pavesi Giulio
Article Info
Journal
Current protocols in bioinformatics
Abbr.
Curr Protoc Bioinformatics
ISSN
1934-340X
Published
2014-09-08
Epub
2014-00-08
Pages
2.11.1-31
Language
English
Region
United States
NLM ID
101157830
Subset
IM
Analysis Services
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