Nature Communications (Jul 2019)

Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences

  • Himel Mallick,
  • Eric A. Franzosa,
  • Lauren J. Mclver,
  • Soumya Banerjee,
  • Alexandra Sirota-Madi,
  • Aleksandar D. Kostic,
  • Clary B. Clish,
  • Hera Vlamakis,
  • Ramnik J. Xavier,
  • Curtis Huttenhower

DOI
https://doi.org/10.1038/s41467-019-10927-1
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 11

Abstract

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Obtaining metabolomic data from microbial communities can be costly and difficult, whereas many microbial community sequence datasets are already available. Here Mallick et al. describe a computational approach to predict metabolic features from microbial DNA sequencing information.