Literature DB >> 15215390

CREME: Cis-Regulatory Module Explorer for the human genome.

Roded Sharan1, Asa Ben-Hur, Gabriela G Loots, Ivan Ovcharenko.   

Abstract

The binding of transcription factors to specific regulatory sequence elements is a primary mechanism for controlling gene transcription. Eukaryotic genes are often regulated by several transcription factors whose binding sites are tightly clustered and form cis-regulatory modules. In this paper, we present a web server, CREME, for identifying and visualizing cis-regulatory modules in the promoter regions of a given set of potentially co-regulated genes. CREME relies on a database of putative transcription factor binding sites that have been annotated across the human genome using a library of position weight matrices and evolutionary conservation with the mouse and rat genomes. A search algorithm is applied to this data set to identify combinations of transcription factors whose binding sites tend to co-occur in close proximity in the promoter regions of the input gene set. The identified cis-regulatory modules are statistically scored and significant combinations are reported and graphically visualized. Our web server is available at http://creme.dcode.org.

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Year:  2004        PMID: 15215390      PMCID: PMC441523          DOI: 10.1093/nar/gkh385

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  15 in total

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2.  Automatic annotation of genomic regulatory sequences by searching for composite clusters.

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Journal:  Pac Symp Biocomput       Date:  2002

3.  A predictive model for regulatory sequences directing liver-specific transcription.

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4.  Identifying regulatory networks by combinatorial analysis of promoter elements.

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Journal:  Genome Res       Date:  2002-05       Impact factor: 9.043

6.  Statistical significance of clusters of motifs represented by position specific scoring matrices in nucleotide sequences.

Authors:  Martin C Frith; John L Spouge; Ulla Hansen; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2002-07-15       Impact factor: 16.971

7.  CREME: a framework for identifying cis-regulatory modules in human-mouse conserved segments.

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Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

8.  Identification of functional clusters of transcription factor binding motifs in genome sequences: the MSCAN algorithm.

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Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

9.  Identification of regulatory regions which confer muscle-specific gene expression.

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10.  Identification of genes periodically expressed in the human cell cycle and their expression in tumors.

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  31 in total

1.  Genome-wide computational prediction of transcriptional regulatory modules reveals new insights into human gene expression.

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2.  Transcription factor and microRNA motif discovery: the Amadeus platform and a compendium of metazoan target sets.

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3.  Predicting tissue-specific enhancers in the human genome.

Authors:  Len A Pennacchio; Gabriela G Loots; Marcelo A Nobrega; Ivan Ovcharenko
Journal:  Genome Res       Date:  2007-01-08       Impact factor: 9.043

4.  Multivariate Hawkes process models of the occurrence of regulatory elements.

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Journal:  BMC Bioinformatics       Date:  2010-09-09       Impact factor: 3.169

Review 5.  Genomic identification of regulatory elements by evolutionary sequence comparison and functional analysis.

Authors:  Gabriela G Loots
Journal:  Adv Genet       Date:  2008       Impact factor: 1.944

6.  Genome-wide discovery of human heart enhancers.

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7.  Transcription factor site dependencies in human, mouse and rat genomes.

Authors:  Andrija Tomovic; Michael Stadler; Edward J Oakeley
Journal:  BMC Bioinformatics       Date:  2009-10-16       Impact factor: 3.169

8.  Motifs and cis-regulatory modules mediating the expression of genes co-expressed in presynaptic neurons.

Authors:  Rui Liu; Sridhar Hannenhalli; Maja Bucan
Journal:  Genome Biol       Date:  2009-07-01       Impact factor: 13.583

9.  Transcriptional programs: modelling higher order structure in transcriptional control.

Authors:  John E Reid; Sascha Ott; Lorenz Wernisch
Journal:  BMC Bioinformatics       Date:  2009-07-16       Impact factor: 3.169

10.  Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs.

Authors:  Bartek Wilczynski; Norbert Dojer; Mateusz Patelak; Jerzy Tiuryn
Journal:  BMC Bioinformatics       Date:  2009-03-10       Impact factor: 3.169

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