Literature DB >> 15383209

In silico representation and discovery of transcription factor binding sites.

Giulio Pavesi1, Giancarlo Mauri, Graziano Pesole.   

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.

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Year:  2004        PMID: 15383209     DOI: 10.1093/bib/5.3.217

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  25 in total

1.  Known and novel post-transcriptional regulatory sequences are conserved across plant families.

Authors:  Justin N Vaughn; Sally R Ellingson; Flavio Mignone; Albrecht von Arnim
Journal:  RNA       Date:  2012-01-11       Impact factor: 4.942

2.  Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

Authors:  Lingang Zhang; Simon Kasif; And Charles R Cantor
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

Review 3.  Role of in silico tools in gene discovery.

Authors:  Bing Yu
Journal:  Mol Biotechnol       Date:  2008-12-20       Impact factor: 2.695

4.  Recent computational approaches to understand gene regulation: mining gene regulation in silico.

Authors:  I Abnizova; T Subhankulova; Wr Gilks
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

Review 5.  Identifying transcriptional cis-regulatory modules in animal genomes.

Authors:  Kushal Suryamohan; Marc S Halfon
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2014-12-29       Impact factor: 5.814

6.  Motif discovery and transcription factor binding sites before and after the next-generation sequencing era.

Authors:  Federico Zambelli; Graziano Pesole; Giulio Pavesi
Journal:  Brief Bioinform       Date:  2012-04-19       Impact factor: 11.622

7.  The word landscape of the non-coding segments of the Arabidopsis thaliana genome.

Authors:  Jens Lichtenberg; Alper Yilmaz; Joshua D Welch; Kyle Kurz; Xiaoyu Liang; Frank Drews; Klaus Ecker; Stephen S Lee; Matt Geisler; Erich Grotewold; Lonnie R Welch
Journal:  BMC Genomics       Date:  2009-10-08       Impact factor: 3.969

8.  MISCORE: a new scoring function for characterizing DNA regulatory motifs in promoter sequences.

Authors:  Dianhui Wang; Sarwar Tapan
Journal:  BMC Syst Biol       Date:  2012-12-12

9.  Dual functions of TAF7L in adipocyte differentiation.

Authors:  Haiying Zhou; Tommy Kaplan; Yan Li; Ivan Grubisic; Zhengjian Zhang; P Jeremy Wang; Michael B Eisen; Robert Tjian
Journal:  Elife       Date:  2013-01-08       Impact factor: 8.140

10.  A fast weak motif-finding algorithm based on community detection in graphs.

Authors:  Caiyan Jia; Matthew B Carson; Jian Yu
Journal:  BMC Bioinformatics       Date:  2013-07-17       Impact factor: 3.169

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