PatternHunter: faster and more sensitive homology search
Bioinformatics Solutions (Canada) · University of California, Santa Barbara
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
- FWCI
- 24.34
- Percentile
- 100%
- References
- 12
Authors
3Topics & keywords
- Computer science
- Java
- Homology (biology)
- Genomics
- MIT License
- Computational biology
- Computation
- License