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PicXAA:一种用于寻找多个生物序列最大期望准确性比对的概率方案。

PicXAA: a probabilistic scheme for finding the maximum expected accuracy alignment of multiple biological sequences.

作者信息

Sahraeian Sayed Mohammad Ebrahim, Yoon Byung-Jun

机构信息

Department of Plant and Microbial Biology, University of California, Berkeley, CA, USA.

出版信息

Methods Mol Biol. 2014;1079:203-10. doi: 10.1007/978-1-62703-646-7_13.

Abstract

PicXAA is a probabilistic nonprogressive alignment algorithm that finds protein (or DNA) multiple sequence alignments with maximum expected accuracy. PicXAA greedily builds up the alignment from sequence regions with high local similarity, thereby yielding an accurate global alignment that effectively captures the local similarities across sequences. PicXAA constantly yields accurate alignment results on a wide range of reference sets that have different characteristics, with especially remarkable improvements over other leading algorithms on sequence sets with high local similarities. In this chapter, we describe the overall alignment strategy used in PicXAA and discuss several important considerations for effective deployment of the algorithm.

摘要

PicXAA是一种概率性非渐进比对算法,可找到具有最大预期准确性的蛋白质(或DNA)多序列比对。PicXAA从具有高局部相似性的序列区域贪婪地构建比对,从而产生一个准确的全局比对,有效地捕捉序列间的局部相似性。在具有不同特征的广泛参考集上,PicXAA始终能产生准确的比对结果,在具有高局部相似性的序列集上,与其他领先算法相比有特别显著的改进。在本章中,我们描述了PicXAA中使用的整体比对策略,并讨论了有效部署该算法的几个重要注意事项。

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