Nature Communications (Jul 2019)

Strain-level metagenomic assignment and compositional estimation for long reads with MetaMaps

  • Alexander T. Dilthey,
  • Chirag Jain,
  • Sergey Koren,
  • Adam M. Phillippy

DOI
https://doi.org/10.1038/s41467-019-10934-2
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 12

Abstract

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Sequencing platforms, such as Oxford Nanopore or Pacific Biosciences generate long-read data that preserve long-range genomic information but have high error rates. Here, the authors develop MetaMaps, a computational tool for strain-level metagenomic assignment and compositional estimation using long reads.