Literature DB >> 12824389

Cluster-Buster: Finding dense clusters of motifs in DNA sequences.

Martin C Frith1, Michael C Li, Zhiping Weng.   

Abstract

The signals that determine activation and repression of specific genes in response to appropriate stimuli are one of the most important, but least understood, types of information encoded in genomic DNA. The nucleotide sequence patterns, or motifs, preferentially bound by various transcription factors have been collected in databases. However, these motifs appear to be individually too short and degenerate to enable detection of functional enhancer and silencer elements within a large genome. Several groups have proposed that dense clusters of motifs may diagnose regulatory regions more accurately. Cluster-Buster is the third incarnation of our software for finding clusters of pre-specified motifs in DNA sequences. We offer a Cluster-Buster web server at http://zlab.bu.edu/cluster-buster/.

Mesh：

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Year:  2003        PMID： 12824389      PMCID： PMC168947          DOI： 10.1093/nar/gkg540

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


  17 in total

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  141 in total

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

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10.  Developmental cis-regulatory analysis of the cyclin D gene in the sea urchin Strongylocentrotus purpuratus.

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