Efficient q-Gram Filters for Finding All ε-Matches over a Given Length
Annual International Conference on Research in Computational Molecular Biology, 2005•Springer
Fast and exact comparison of large genomic sequences remains a challenging task in
biosequence analysis. We consider the problem of finding all ε-matches between two
sequences, ie all local alignments over a given length with an error rate of at most ε. We
study this problem theoretically, giving an efficient q-gram filter for solving it. Two
applications of the filter are also discussed, in particular genomic sequence assembly and
blast-like sequence comparison. Our results show that the method is 25 times faster than …
biosequence analysis. We consider the problem of finding all ε-matches between two
sequences, ie all local alignments over a given length with an error rate of at most ε. We
study this problem theoretically, giving an efficient q-gram filter for solving it. Two
applications of the filter are also discussed, in particular genomic sequence assembly and
blast-like sequence comparison. Our results show that the method is 25 times faster than …
Abstract
Fast and exact comparison of large genomic sequences remains a challenging task in biosequence analysis. We consider the problem of finding all ε-matches between two sequences, i.e. all local alignments over a given length with an error rate of at most ε. We study this problem theoretically, giving an efficient q-gram filter for solving it. Two applications of the filter are also discussed, in particular genomic sequence assembly and blast-like sequence comparison. Our results show that the method is 25 times faster than blast, while not being heuristic.
Springer