Center for Bioinformatics, Tübingen University, Tübingen, Germany.
Genome Res. 2011 Sep;21(9):1552-60. doi: 10.1101/gr.120618.111. Epub 2011 Jun 20.
A major challenge in the analysis of environmental sequences is data integration. The question is how to analyze different types of data in a unified approach, addressing both the taxonomic and functional aspects. To facilitate such analyses, we have substantially extended MEGAN, a widely used taxonomic analysis program. The new program, MEGAN4, provides an integrated approach to the taxonomic and functional analysis of metagenomic, metatranscriptomic, metaproteomic, and rRNA data. While taxonomic analysis is performed based on the NCBI taxonomy, functional analysis is performed using the SEED classification of subsystems and functional roles or the KEGG classification of pathways and enzymes. A number of examples illustrate how such analyses can be performed, and show that one can also import and compare classification results obtained using others' tools. MEGAN4 is freely available for academic purposes, and installers for all three major operating systems can be downloaded from www-ab.informatik.uni-tuebingen.de/software/megan.
环境序列分析的一个主要挑战是数据集成。问题是如何以统一的方法分析不同类型的数据,同时解决分类和功能方面的问题。为了促进这些分析,我们对广泛使用的分类分析程序 MEGAN 进行了实质性扩展。新程序 MEGAN4 提供了一种综合方法,可用于对宏基因组、宏转录组、宏蛋白质组和 rRNA 数据进行分类和功能分析。虽然分类分析基于 NCBI 分类法进行,但功能分析则使用 SEED 分类的子系统和功能角色或 KEGG 分类的途径和酶进行。有许多示例说明了如何执行此类分析,并表明还可以导入和比较使用其他工具获得的分类结果。MEGAN4 可免费用于学术目的,并且可以从 www-ab.informatik.uni-tuebingen.de/software/megan 下载适用于所有三个主要操作系统的安装程序。