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Methods for comparative metagenomics

机译:比较偏心神经的方法

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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.Conclusion: 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.
机译:背景技术是一种迅速增长的研究领域,旨在研究未培养的生物,以了解微生物,其功能,合作和进化的真正多样性,在土壤,水,古代动物的环境中,或动物的消化系统和人类。最近的超高吞吐量测序技术的发展,不需要克隆或PCR扩增,并且可以以实惠的成本产生大量的DNA读数,增强了偏见测序项目的数量和范围。越来越多地需要进行比较多个MetageNomics数据集的新方法,以及用于这种方法的快速和用户友好的实现。结果:本文介绍了许多用于交互探索,分析和比较多个偏见数据集的新方法在独立的Metagenome分析工具梅根的新的比较版本2.0中自由提供.Conclusion:对比较和用户友好的工具有很大的需求,用于对比较分析进行比较分析,梅根2.0将有助于填补这种差距。

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