Kalign-LCS - A More Accurate and Faster Variant of Kalign2 Algorithm for the Multiple Sequence Alignment Problem

被引:6
|
作者
Deorowicz, Sebastian [1 ]
Debudaj-Grabysz, Agnieszka [1 ]
Gudys, Adam [1 ]
机构
[1] Silesian Tech Univ, Inst Informat, PL-44100 Gliwice, Poland
来源
MAN-MACHINE INTERACTIONS 3 | 2014年 / 242卷
关键词
multiple sequence alignment; longest common subsequence; PROTEIN;
D O I
10.1007/978-3-319-02309-0_54
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Determination of similarities between species is a crucial issue in life sciences. This task is usually done by comparing fragments of genomic or proteomic sequences of organisms subjected to analysis. The basic procedure which facilitates these comparisons is called multiple sequence alignment. There are a lot of algorithms aiming at this problem, which are either accurate or fast. We present Kalign-LCS, a variant of fast Kalign2 algorithm, that addresses the accuracy vs. speed trade-off. It employs the longest common subsequence measure and was thoroughly optimized. Experiments show that it is faster than Kalign2 and produces noticeably more accurate alignments.
引用
收藏
页码:495 / 502
页数:8
相关论文
共 4 条
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    Erik LL Sonnhammer
    [J]. BMC Bioinformatics, 6
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