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四分树分解服务器:一个分析系统发育树的平台。

Quartet decomposition server: a platform for analyzing phylogenetic trees.

机构信息

Department of Biochemistry and Molecular Biology, University of Georgia, 120 Green St, Athens, GA 30622, USA.

出版信息

BMC Bioinformatics. 2012 Jun 7;13:123. doi: 10.1186/1471-2105-13-123.

Abstract

BACKGROUND

The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially in phylogenomic analyses. Decomposition of gene trees into embedded quartets (unrooted trees each with four taxa) is a convenient and statistically powerful technique to address this challenging problem. This approach was shown to be useful in several studies of completely sequenced microbial genomes.

RESULTS

We present here a web server that takes a collection of gene phylogenies, decomposes them into quartets, generates a Quartet Spectrum, and draws a split network. Users are also provided with various data download options for further analyses. Each gene phylogeny is to be represented by an assessment of phylogenetic information content, such as sets of trees reconstructed from bootstrap replicates or sampled from a posterior distribution. The Quartet Decomposition server is accessible at http://quartets.uga.edu.

CONCLUSIONS

The Quartet Decomposition server presented here provides a convenient means to perform Quartet Decomposition analyses and will empower users to find statistically supported phylogenetic conflicts.

摘要

背景

原核生物之间频繁的遗传物质交换意味着,从许多基因家族中提取大多数或多数系统发育信号,并识别与多数信号显著冲突的基因家族,这是比较基因组学,特别是系统发育基因组学分析中的一项常见任务。将基因树分解为嵌入四分体(每个都有四个分类单元的无根树)是解决这一具有挑战性问题的一种方便且具有统计效力的技术。这种方法在一些完全测序的微生物基因组的研究中被证明是有用的。

结果

我们在这里提供了一个网络服务器,它可以接收一组基因系统发育树,将它们分解为四分体,生成四分体谱,并绘制一个分支网络。还为用户提供了进一步分析的各种数据下载选项。每个基因系统发育树都将通过评估系统发育信息量来表示,例如从自举复制或从后验分布中抽样重建的树集。四分体分解服务器可在 http://quartets.uga.edu 访问。

结论

这里提供的四分体分解服务器为进行四分体分解分析提供了一种方便的方法,并将使用户能够找到具有统计学支持的系统发育冲突。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c6d/3447714/8d44abb4e2ea/1471-2105-13-123-1.jpg

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