一种改进的蚁群序列比对算法

Q3 Biochemistry, Genetics and Molecular Biology

IPSJ Transactions on Bioinformatics Pub Date : 2009-12-01 DOI:10.2197/IPSJTBIO.2.63

A. Mikami, Jianming Shi

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引用次数: 3

摘要

在这项研究中，我们使用蚁群系统(ACS)开发了一种启发式序列比对算法。该算法无疑是ACS-MultiAlignment的改进，ACS-MultiAlignment于2005年提出，用于预测主要组织相容性复合体(MHC) II类结合物。数值实验表明，该算法比原acs - multi - alignment算法快2900倍。并通过数值实验将该算法与Gibbs抽样算法等其他方法进行了比较。结果表明，该算法比Gibbs方法找到了最优的价值提示符。

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A Modified Algorithm for Sequence Alignment Using Ant Colony System

In this study, we use the Ant Colony System (ACS) to develop a heuristic algorithm for sequence alignment. This algorithm is certainly an improvement on ACS-MultiAlignment, which was proposed in 2005 for predicting major histocompatibility complex (MHC) class II binders. The numerical experiments indicate that this algorithm is as much as 2, 900 times faster than the original ACS-MultiAlignment algorithm. We also compare this algorithm to the other approaches such as Gibbs sampling algorithm using numerical experiments. The results show that our algorithm finds the best value prompter than Gibbs approach.

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来源期刊

IPSJ Transactions on Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)

CiteScore

1.90

自引率

0.00%

发文量