Nature Communications (Jan 2017)

MetaSort untangles metagenome assembly by reducing microbial community complexity

  • Peifeng Ji,
  • Yanming Zhang,
  • Jinfeng Wang,
  • Fangqing Zhao

DOI
https://doi.org/10.1038/ncomms14306
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 14

Abstract

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Currently available metagenomic data analysis relies on reference genomes. Here, the authors describe a newde novometagenomic assembly method, metaSort, that constructs bacterial genomes from metagenomic samples to reduce microbial community complexity while increasing genome recovery and assembly.