BMC Bioinformatics | |
Pairwise alignment of nucleotide sequences using maximal exact matches | |
Bruno Gaëta1  Aleksandar Ignjatovic1  Sri Parameswaran1  Arash Bayat2  | |
[1] 0000 0004 4902 0432, grid.1005.4, School of Computer Science and Engineering, University of New South Wales (UNSW), 2052, Sydney, Australia;0000 0004 4902 0432, grid.1005.4, School of Computer Science and Engineering, University of New South Wales (UNSW), 2052, Sydney, Australia;grid.1016.6, Health and Biosecurity, CSIRO, 53/11 Julius Ave, North Ryde, 2113, Sydney, Australia; | |
关键词: Sequence alignment; Dynamic programming; Affine-gap penalty; | |
DOI : 10.1186/s12859-019-2827-0 | |
来源: publisher | |
【 摘 要 】
BackgroundPairwise alignment of short DNA sequences with affine-gap scoring is a common processing step performed in a range of bioinformatics analyses. Dynamic programming (i.e. Smith-Waterman algorithm) is widely used for this purpose. Despite using data level parallelisation, pairwise alignment consumes much time. There are faster alignment algorithms but they suffer from the lack of accuracy.ResultsIn this paper, we present MEM-Align, a fast semi-global alignment algorithm for short DNA sequences that allows for affine-gap scoring and exploit sequence similarity. In contrast to traditional alignment method (such as Smith-Waterman) where individual symbols are aligned, MEM-Align extracts Maximal Exact Matches (MEMs) using a bit-level parallel method and then looks for a subset of MEMs that forms the alignment using a novel dynamic programming method. MEM-Align tries to mimic alignment produced by Smith-Waterman. As a result, for 99.9% of input sequence pair, the computed alignment score is identical to the alignment score computed by Smith-Waterman. Yet MEM-Align is up to 14.5 times faster than the Smith-Waterman algorithm. Fast run-time is achieved by: (a) using a bit-level parallel method to extract MEMs; (b) processing MEMs rather than individual symbols; and, (c) applying heuristics.ConclusionsMEM-Align is a potential candidate to replace other pairwise alignment algorithms used in processes such as DNA read-mapping and Variant-Calling.
【 授权许可】
CC BY
【 预 览 】
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