| Literature DB >> 21278916 |
Mohammadreza Ghodsi1, Mihai Pop.
Abstract
We describe an algorithm for finding approximate seeds for DNA homology searches. In contrast to previous algorithms that use exact or spaced seeds, our approximate seeds may contain insertions and deletions. We present a generalized heuristic for finding such seeds efficiently and prove that the heuristic does not affect sensitivity. We show how to adapt this algorithm to work over the memory efficient suffix array with provably minimal overhead in running time.We demonstrate the effectiveness of our algorithm on two tasks: whole genome alignment of bacteria and alignment of the DNA sequences of 177 genes that are orthologous in human and mouse. We show our algorithm achieves better sensitivity and uses less memory than other commonly used local alignment tools.Entities:
Year: 2009 PMID: 21278916 PMCID: PMC3029072 DOI: 10.1109/BIBM.2009.25
Source DB: PubMed Journal: Proceedings (IEEE Int Conf Bioinformatics Biomed) ISSN: 2156-1125