articleBioinformaticsMar 1, 2002BRONZE OA

PatternHunter: faster and more sensitive homology search

Bioinformatics Solutions (Canada) · University of California, Santa Barbara

PubMed
Indexed incrossrefdoajpubmed

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…

Citation impact

862
total citations
FWCI
24.34
Percentile
100%
References
12
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Java
  • Homology (biology)
  • Genomics
  • MIT License
  • Computational biology
  • Computation
  • License
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