Kim Mincheol, Lee Ki-Hyun, Yoon Seok-Whan, Kim Bong-Soo, Chun Jongsik, Yi Hana
School of Biological Sciences & Institute of Bioinformatics (BIOMAX), Seoul National University, Seoul 151-742, Korea.
Genomics Inform. 2013 Sep;11(3):102-13. doi: 10.5808/GI.2013.11.3.102. Epub 2013 Sep 30.
Metagenomics has become one of the indispensable tools in microbial ecology for the last few decades, and a new revolution in metagenomic studies is now about to begin, with the help of recent advances of sequencing techniques. The massive data production and substantial cost reduction in next-generation sequencing have led to the rapid growth of metagenomic research both quantitatively and qualitatively. It is evident that metagenomics will be a standard tool for studying the diversity and function of microbes in the near future, as fingerprinting methods did previously. As the speed of data accumulation is accelerating, bioinformatic tools and associated databases for handling those datasets have become more urgent and necessary. To facilitate the bioinformatics analysis of metagenomic data, we review some recent tools and databases that are used widely in this field and give insights into the current challenges and future of metagenomics from a bioinformatics perspective.
在过去几十年里,宏基因组学已成为微生物生态学中不可或缺的工具之一。借助测序技术的最新进展,宏基因组学研究的一场新革命即将开启。下一代测序技术带来的海量数据产出以及成本大幅降低,使得宏基因组学研究在数量和质量上都迅速增长。显然,宏基因组学在不久的将来将成为研究微生物多样性和功能的标准工具,就如同之前的指纹识别方法一样。随着数据积累速度的加快,用于处理这些数据集的生物信息学工具和相关数据库变得愈发迫切和必要。为了促进宏基因组数据的生物信息学分析,我们综述了该领域广泛使用的一些最新工具和数据库,并从生物信息学角度深入探讨了宏基因组学当前面临的挑战和未来发展方向。