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PMID: 15383209 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

In silico representation and discovery of transcription factor binding sites.

Briefings in bioinformatics ·Vol. 5 ·No. 3 ·2004-09-00 ·Pages 217-36

Pavesi G, Mauri G, Pesole G

Abstract

Understanding the complex mechanisms governing basic biological processes requires the characterisation of regulatory motifs modulating gene expression at transcriptional and post-transcriptional level. In particular, extent, chronology and cell-specificity of transcription are modulated by the interaction of transcription factors with their corresponding binding sites, mostly located near (or sometimes quite far away from) the transcription start site of the gene. The constantly growing amount of genomic data, complemented by other sources of information such as expression data derived from microarray experiments, has opened new opportunities to researchers in this field. Many different methods have been proposed for the identification of transcription factor binding sites in the regulatory regions of co-expressed genes: unfortunately this is a very challenging problem both from the computational and the biological viewpoint. This paper provides a survey of existing methods proposed for the problem, focusing both on the ideas underlying them and their availability to the scientific community.

MeSH Terms
Algorithms Amino Acid Motifs/genetics Binding Sites Chromosome Mapping/methods Genes, Regulator/genetics Oligonucleotide Array Sequence Analysis/methods Protein Binding Proteins/chemistry,genetics Sequence Alignment/methods Sequence Analysis/methods Software Transcription Factors/chemistry,genetics
Chemicals
Proteins Transcription Factors
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Pavesi Giulio
University of Milan, Milano, Italy.
Mauri Giancarlo
Pesole Graziano
Article Info
Journal
Briefings in bioinformatics
Abbr.
Brief Bioinform
ISSN
1467-5463
Published
2004-09-00
Pages
217-36
Language
English
Region
England
NLM ID
100912837
Subset
IM
Grants
Telethon · GP0101Y01 · Italy
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