元基因组学--从取样到数据分析的指南。

Torsten Thomas, Jack Gilbert, Folker Meyer
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摘要

元基因组学应用一整套基因组技术和生物信息学工具,直接获取整个生物群落的基因内容。在过去的 5 到 10 年中,元基因组学领域在微生物生态学、进化和多样性方面取得了重大进展,目前许多研究实验室都在积极开展这方面的研究。随着研究活动的不断增多,大量的方法学知识和专业技术也随之而来,这些知识和技术应能指导该领域未来的发展。本综述总结了元基因组学目前的观点,并就样本处理、测序技术、组装、分选、注释、实验设计、统计分析、数据存储和数据共享等方面提供了实用的指导和建议。随着越来越多的元基因组数据集产生,标准化程序和共享数据存储与分析的可用性变得越来越重要,以确保单个项目的产出可以评估和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Metagenomics - a guide from sampling to data analysis.

Metagenomics applies a suite of genomic technologies and bioinformatics tools to directly access the genetic content of entire communities of organisms. The field of metagenomics has been responsible for substantial advances in microbial ecology, evolution, and diversity over the past 5 to 10 years, and many research laboratories are actively engaged in it now. With the growing numbers of activities also comes a plethora of methodological knowledge and expertise that should guide future developments in the field. This review summarizes the current opinions in metagenomics, and provides practical guidance and advice on sample processing, sequencing technology, assembly, binning, annotation, experimental design, statistical analysis, data storage, and data sharing. As more metagenomic datasets are generated, the availability of standardized procedures and shared data storage and analysis becomes increasingly important to ensure that output of individual projects can be assessed and compared.

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