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PMID: 12376382 Published · ppublish English Comparative Study Evaluation Study Journal Article Validation Study

Finding motifs in the twilight zone.

Bioinformatics (Oxford, England) ·Vol. 18 ·No. 10 ·2002-10-00 ·Pages 1374-81

Keich U, Pevzner PA

Abstract

Gene activity is often affected by binding transcription factors to short fragments in DNA sequences called motifs. Identification of subtle regulatory motifs in a DNA sequence is a difficult pattern recognition problem. In this paper we design a new motif finding algorithm that can detect very subtle motifs. We introduce the notion of a multiprofile and use it for finding subtle motifs in DNA sequences. Multiprofiles generalize the notion of a profile and allow one to detect subtle patterns that escape detection by the standard profiles. Our MULTIPROFILER algorithm outperforms other leading motif finding algorithms in a number of synthetic models. Moreover, it can be shown that in some previously studied motif models, MULTIPROFILER is capable of pushing the performance envelope to its theoretical limits. http://www-cse.ucsd.edu/groups/bioinformatics/software.html

MeSH Terms
Algorithms Amino Acid Motifs/genetics Base Sequence Benchmarking Consensus Sequence/genetics DNA/genetics DNA-Binding Proteins/genetics Escherichia coli/genetics,metabolism Molecular Sequence Data Promoter Regions, Genetic/genetics Quality Control Regulatory Sequences, Nucleic Acid/genetics Saccharomyces cerevisiae/genetics,metabolism Sensitivity and Specificity Sequence Alignment/methods Sequence Analysis, DNA/methods
Chemicals
DNA-Binding Proteins DNA
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Keich U
Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA. [email protected]
Pevzner P A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2002-10-00
Pages
1374-81
Language
English
Region
England
NLM ID
9808944
Subset
IM
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