Literature DB >> 11934743

PatternHunter: faster and more sensitive homology search.

Bin Ma1, John Tromp, Ming Li.   

Abstract

MOTIVATION: 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.
RESULTS: 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. AVAILABILITY: 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.

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Year:  2002        PMID: 11934743     DOI: 10.1093/bioinformatics/18.3.440

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  181 in total

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9.  Adaptive seeds tame genomic sequence comparison.

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10.  DiagHunter and GenoPix2D: programs for genomic comparisons, large-scale homology discovery and visualization.

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