Methods for comparative metagenomics.
Methods for comparative metagenomics.
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DOI：
10.1186/1471-2105-10-s1-s12
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发表时间：
2009-01-30
影响因子：
3
通讯作者：
Schuster SC
中科院分区：
文献类型：
--
作者：
Huson DH;Richter DC;Mitra S;Auch AF;Schuster SC
宏基因组学是一个快速发展的研究领域，旨在研究未培养的生物体，以了解土壤、水、古代动物遗骸或动物和人类消化系统等环境中微生物的真正多样性、其功能、合作和进化。最近开发的超高通量测序技术不需要克隆或 PCR 扩增，并且可以以可承受的成本产生大量 DNA 读数，从而增加了宏基因组测序项目的数量和范围。人们越来越需要比较多个宏基因组数据集的新方法，以及快速且用户友好地实施此类方法。本文介绍了一些用于交互式探索、分析和比较多个宏基因组数据集的新方法，这些方法将在独立宏基因组分析工具 MEGAN 的新的比较版本 2.0 中免费提供。人们非常需要强大且用户友好的工具来对宏基因组数据进行比较分析，MEGAN 2.0 将有助于填补这一空白。
Metagenomics is a rapidly growing field of research that aims at studying uncultured organisms to understand the true diversity of microbes, their functions, cooperation and evolution, in environments such as soil, water, ancient remains of animals, or the digestive system of animals and humans. The recent development of ultra-high throughput sequencing technologies, which do not require cloning or PCR amplification, and can produce huge numbers of DNA reads at an affordable cost, has boosted the number and scope of metagenomic sequencing projects. Increasingly, there is a need for new ways of comparing multiple metagenomics datasets, and for fast and user-friendly implementations of such approaches. This paper introduces a number of new methods for interactively exploring, analyzing and comparing multiple metagenomic datasets, which will be made freely available in a new, comparative version 2.0 of the stand-alone metagenome analysis tool MEGAN. There is a great need for powerful and user-friendly tools for comparative analysis of metagenomic data and MEGAN 2.0 will help to fill this gap.