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iPhy:一个用于超级矩阵分析的集成系统发育工作平台。

iPhy: an integrated phylogenetic workbench for supermatrix analyses.

机构信息

Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH93JT, UK.

出版信息

BMC Bioinformatics. 2011 Jan 24;12:30. doi: 10.1186/1471-2105-12-30.

Abstract

BACKGROUND

The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choice rather than by data. In order to take advantage of increasing datasets, user-friendly tools are required to facilitate phylogenetic analyses and to reduce duplication of dataset assembly efforts. Current phylogenetic pipelines are dependency-heavy and have significant technical barriers to use.

RESULTS

Here we present iPhy, a web application that lets non-technical users assemble, share and analyse DNA sequence datasets for multigene phylogenetic investigations. Built on a simple client-server architecture, iPhy eases the collection of gene sets for analysis, facilitates alignment and reliably generates phylogenetic analysis-ready data files. Phylogenetic trees generated in external programs can be imported and stored, and iPhy integrates with iTol to allow trees to be displayed with rich data annotation. The datasets collated in iPhy can be shared through the client interface. We show how systematic biases can be addressed by using explicit criteria when selecting sequences for analysis from a large dataset. A representative instance of iPhy can be accessed at iphy.bio.ed.ac.uk, but the toolkit can also be deployed on a local server for advanced users.

CONCLUSIONS

iPhy provides an easy-to-use environment for the assembly, analysis and sharing of large phylogenetic datasets, while encouraging best practices in terms of phylogenetic analysis and taxon selection.

摘要

背景

越来越多的分子序列数据意味着未来系统发育研究的准确性可能受到系统偏差和分类选择的限制,而不是数据。为了利用不断增加的数据集,需要用户友好的工具来促进系统发育分析,并减少数据集组装工作的重复。目前的系统发育管道依赖严重,使用起来存在重大技术障碍。

结果

这里我们介绍了 iPhy,这是一个网络应用程序,允许非技术用户组装、共享和分析多基因系统发育研究的 DNA 序列数据集。iPhy 建立在简单的客户端-服务器架构之上,简化了基因集的收集用于分析,促进了对齐,并可靠地生成了准备好进行系统发育分析的数据文件。在外部程序中生成的系统发育树可以导入和存储,并且 iPhy 与 iTol 集成,允许使用丰富的数据注释显示树。在 iPhy 中整理的数据集可以通过客户端界面共享。我们展示了如何通过在从大型数据集分析中选择序列时使用明确的标准来解决系统偏差问题。可以在 iphy.bio.ed.ac.uk 访问 iPhy 的一个代表性实例,但也可以为高级用户在本地服务器上部署该工具包。

结论

iPhy 为大型系统发育数据集的组装、分析和共享提供了一个易于使用的环境,同时鼓励在系统发育分析和分类选择方面采用最佳实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/3037854/5779d1c78e90/1471-2105-12-30-1.jpg

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