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通过一致性进行多序列比对。

Multiple sequence alignment by consensus.

作者信息

Waterman M S

出版信息

Nucleic Acids Res. 1986 Nov 25;14(22):9095-102. doi: 10.1093/nar/14.22.9095.

DOI:10.1093/nar/14.22.9095
PMID:3786145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC311931/
Abstract

An algorithm for multiple sequence alignment is given that matches words of length and degree of mismatch chosen by the user. The alignment maximizes an alignment scoring function. The method is based on a novel extension of our consensus sequence methods. The algorithm works for both DNA and protein sequences, and from earlier work on consensus sequences, it is possible to estimate statistical significance.

摘要

给出了一种多序列比对算法，该算法能匹配用户选择的长度和错配程度的单词。比对使比对评分函数最大化。该方法基于我们的共有序列方法的一种新颖扩展。该算法适用于DNA和蛋白质序列，并且根据早期关于共有序列的工作，可以估计统计显著性。

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本文引用的文献

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An efficient method for finding repeats in molecular sequences.一种在分子序列中查找重复序列的有效方法。
Nucleic Acids Res. 1983 Jul 11;11(13):4629-34. doi: 10.1093/nar/11.13.4629.
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Pattern recognition in several sequences: consensus and alignment.多个序列中的模式识别：共有序列与比对
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Rigorous pattern-recognition methods for DNA sequences. Analysis of promoter sequences from Escherichia coli.用于DNA序列的严格模式识别方法。大肠杆菌启动子序列分析。
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A multiple sequence alignment program.一个多序列比对程序。
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Frequency of insertion-deletion, transversion, and transition in the evolution of 5S ribosomal RNA.5S核糖体RNA进化过程中插入缺失、颠换和转换的频率。
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