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trimal:一种用于大规模系统发育分析中自动对齐修剪的工具。

trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses.

机构信息

Comparative Genomics Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation, 88 08003 Barcelona, Spain.

出版信息

Bioinformatics. 2009 Aug 1;25(15):1972-3. doi: 10.1093/bioinformatics/btp348. Epub 2009 Jun 8.

Abstract

SUMMARY

Multiple sequence alignments are central to many areas of bioinformatics. It has been shown that the removal of poorly aligned regions from an alignment increases the quality of subsequent analyses. Such an alignment trimming phase is complicated in large-scale phylogenetic analyses that deal with thousands of alignments. Here, we present trimAl, a tool for automated alignment trimming, which is especially suited for large-scale phylogenetic analyses. trimAl can consider several parameters, alone or in multiple combinations, for selecting the most reliable positions in the alignment. These include the proportion of sequences with a gap, the level of amino acid similarity and, if several alignments for the same set of sequences are provided, the level of consistency across different alignments. Moreover, trimAl can automatically select the parameters to be used in each specific alignment so that the signal-to-noise ratio is optimized.

AVAILABILITY

trimAl has been written in C++, it is portable to all platforms. trimAl is freely available for download (http://trimal.cgenomics.org) and can be used online through the Phylemon web server (http://phylemon2.bioinfo.cipf.es/). Supplementary Material is available at http://trimal.cgenomics.org/publications.

摘要

摘要

多序列比对是生物信息学的许多领域的核心。已经表明,从比对中去除未对齐的区域可以提高后续分析的质量。在涉及数千个比对的大规模系统发育分析中,这种对齐修剪阶段很复杂。在这里,我们介绍了 trimAl,这是一种用于自动对齐修剪的工具,特别适合大规模系统发育分析。trimAl 可以单独或组合使用多个参数来选择比对中最可靠的位置。这些参数包括具有空位的序列的比例、氨基酸相似性的水平,以及如果为同一组序列提供了多个比对,则跨不同比对的一致性水平。此外,trimAl 可以自动选择每个特定比对中要使用的参数,以优化信噪比。

可用性

trimAl 是用 C++编写的,可移植到所有平台。trimAl 可免费下载(http://trimal.cgenomics.org),也可通过 Phylemon 网络服务器(http://phylemon2.bioinfo.cipf.es/)在线使用。补充材料可在 http://trimal.cgenomics.org/publications 上获得。

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