A quantitative approach to measure and predict microbiome response to antibiotics
Vincent Tu, Yue Ren, Ceylan Tanes, Sagori Mukhopadhyay, Scott G. Daniel, Hongzhe Li, Kyle L. Bittinger
The paper introduces a quantitative method to measure and predict microbiome responses to antibiotics using a Microbiome Response Index (MiRIx) and applies it to human microbiome data.
mSphere · Sep 4, 2024Peer-reviewedBioinformatics