MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities.
MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities.
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作者：
Kang DD;Froula J;Egan R;Wang Z
将从散弹枪宏基因组序列中组装的大基因组片段分组，以反卷积复杂的微生物群落，或宏基因组分组，使个体生物及其相互作用的研究成为可能。由于这些群落的复杂性，现有的宏基因组分类方法往往遗漏了大量的微生物物种。此外，大多数工具都不能扩展到大型数据集。在这里，我们介绍名为MetaBAT的自动化软件，该软件集成了基因组丰度和四核苷酸频率的经验概率距离，用于精确的宏基因组分组。MetaBAT在合成和真实宏基因组数据集的准确性和计算效率方面优于其他方法。它在一个节点上自动形成数百个高质量的基因组箱，在一个非常大的组装上，由数百万个contigs组成，只需几个小时。MetaBAT是开源软件，可从。
Grouping large genomic fragments assembled from shotgun metagenomic sequences to deconvolute complex microbial communities, or metagenome binning, enables the study of individual organisms and their interactions. Because of the complex nature of these communities, existing metagenome binning methods often miss a large number of microbial species. In addition, most of the tools are not scalable to large datasets. Here we introduce automated software called MetaBAT that integrates empirical probabilistic distances of genome abundance and tetranucleotide frequency for accurate metagenome binning. MetaBAT outperforms alternative methods in accuracy and computational efficiency on both synthetic and real metagenome datasets. It automatically forms hundreds of high quality genome bins on a very large assembly consisting millions of contigs in a matter of hours on a single node. MetaBAT is open source software and available at .