MaxBin 2.0: An automated binning algorithm to recover genomes from multiple metagenomic datasets

Yu Wei Wu, Blake A. Simmons, Steven W. Singer

研究成果: 雜誌貢獻文章同行評審

857 引文 斯高帕斯(Scopus)

摘要

Summary: The recovery of genomes from metagenomic datasets is a critical step to defining the functional roles of the underlying uncultivated populations. We previously developed MaxBin, an automated binning approach for high-throughput recovery of microbial genomes from metagenomes. Here we present an expanded binning algorithm, MaxBin 2.0, which recovers genomes from co-assembly of a collection of metagenomic datasets. Tests on simulated datasets revealed that MaxBin 2.0 is highly accurate in recovering individual genomes, and the application of MaxBin 2.0 to several metagenomes from environmental samples demonstrated that it could achieve two complementary goals: recovering more bacterial genomes compared to binning a single sample as well as comparing the microbial community composition between different sampling environments. Availability and implementation: MaxBin 2.0 is freely available at http://sourceforge.net/projects/maxbin/ under BSD license. Supplementary information: Supplementary data are available at Bioinformatics online.
原文英語
頁(從 - 到)605-607
頁數3
期刊Bioinformatics
32
發行號4
DOIs
出版狀態已發佈 - 2月 2016
對外發佈

ASJC Scopus subject areas

  • 生物化學
  • 分子生物學
  • 計算機理論與數學
  • 電腦科學應用
  • 計算數學
  • 統計與概率

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