Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences

@article{Mallick2019PredictiveMP,
  title={Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences},
  author={Himel Mallick and Eric A. Franzosa and Lauren J. Mclver and Soumya Banerjee and Alexandra Sirota-Madi and Aleksandar D. Kostic and Clary B. Clish and Hera Vlamakis and Ramnik J. Xavier and Curtis Huttenhower},
  journal={Nature Communications},
  year={2019},
  volume={10}
}
Microbial community metabolomics, particularly in the human gut, are beginning to provide a new route to identify functions and ecology disrupted in disease. However, these data can be costly and difficult to obtain at scale, while amplicon or shotgun metagenomic sequencing data are readily available for populations of many thousands. Here, we describe a computational approach to predict potentially unobserved metabolites in new microbial communities, given a model trained on paired metabolomes… Expand
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