Methods for comparative metagenomics
Background: 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.Results: 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.Conclusions: 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.
Daniel H Huson Daniel C Richter Suparna Mitra Alexander F Auch Stephan C Schuster
Center for Bioinformatics ZBIT, Tübingen University, Sand 14, 72070 Tübingen, Germany 310 Wartik Laboratories, PennState University, Center for Comparative Genomics, Center for Infectiou
国际会议
The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)
北京
英文
115-125
2009-01-01（万方平台首次上网日期，不代表论文的发表时间）