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PMID: 11934743 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

PatternHunter: faster and more sensitive homology search.

Bioinformatics (Oxford, England) ·Vol. 18 ·No. 3 ·2002-03-00 ·Pages 440-5

Ma B, Tromp J, Li M

Abstract

Genomics and proteomics studies routinely depend on homology searches based on the strategy of finding short seed matches which are then extended. The exploding genomic data growth presents a dilemma for DNA homology search techniques: increasing seed size decreases sensitivity whereas decreasing seed size slows down computation. We present a new homology search algorithm 'PatternHunter' that uses a novel seed model for increased sensitivity and new hit-processing techniques for significantly increased speed. At Blast levels of sensitivity, PatternHunter is able to find homologies between sequences as large as human chromosomes, in mere hours on a desktop. PatternHunter is available at http://www.bioinformaticssolutions.com, as a commercial package. It runs on all platforms that support Java. PatternHunter technology is being patented; commercial use requires a license from BSI, while non-commercial use will be free.

MeSH Terms
Algorithms Base Sequence DNA/genetics Databases, Nucleic Acid Genome Models, Statistical Molecular Sequence Data National Library of Medicine (U.S.) Quality Control Sensitivity and Specificity Sequence Alignment/methods,statistics & numerical data Sequence Homology Software Time Factors United States
Chemicals
DNA
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Ma Bin
Computer Science Department, University of Western Ontario, London N6A 5B8, Canada Bioinformatics Solutions Inc., 145 Columbia Street West, Waterloo, Ont. N2L 3L2, Canada.
Tromp John
Li Ming
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2002-03-00
Pages
440-5
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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