Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome

Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome

Show other versions (1)

ABSTRACT Antibiotic resistance in pathogens is extensively studied, and yet little is known about how antibiotic resistance genes of typical gut bacteria influence microbiome dynamics. Here, we leveraged genomes from metagenomes to investigate how genes of the premature infant gut resistome correspo...

Full description

Bibliographic Details
Main Authors: Sumayah F. Rahman, Matthew R. Olm, Michael J. Morowitz, Jillian F. Banfield
Format: Article
Language:English
Published: American Society for Microbiology 2018-02-01
Series:mSystems
Subjects:
Clostridium difficile
antibiotic resistance
genome-resolved metagenomics
infant
machine learning
microbiome
Online Access:https://journals.asm.org/doi/10.1128/mSystems.00123-17

Internet

https://journals.asm.org/doi/10.1128/mSystems.00123-17

Similar Items