Work

Cluster-Buster: finding dense clusters of motifs in DNA sequences

Year: 2003

Type: article

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/.

Source: Nucleic Acids Research

DOI: 10.1093/nar/gkg540

Authors: M. C. Frith, Michael C Li, Zhiping Weng

Institution: Boston University

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: Howard Hughes Medical Institute, National Institutes of Health, National Institute of General Medical Sciences, Division of Biological Infrastructure

Award: Computational Methods for Cell Systems Analysis