Cargando…
Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome
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 correspond to the...
Autores principales: | Rahman, Sumayah F., Olm, Matthew R., Morowitz, Michael J., Banfield, Jillian F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758725/ https://www.ncbi.nlm.nih.gov/pubmed/29359195 http://dx.doi.org/10.1128/mSystems.00123-17 |
Ejemplares similares
-
Combined analysis of microbial metagenomic and metatranscriptomic sequencing data to assess in situ physiological conditions in the premature infant gut
por: Sher, Yonatan, et al.
Publicado: (2020) -
Genome-resolved metagenomics of eukaryotic populations during early colonization of premature infants and in hospital rooms
por: Olm, Matthew R., et al.
Publicado: (2019) -
Identical bacterial populations colonize premature infant gut, skin, and oral microbiomes and exhibit different in situ growth rates
por: Olm, Matthew R., et al.
Publicado: (2017) -
Development of an Enhanced
Metaproteomic Approach
for Deepening the Microbiome Characterization of the Human Infant
Gut
por: Xiong, Weili, et al.
Publicado: (2014) -
Using strain-resolved analysis to identify contamination in metagenomics data
por: Lou, Yue Clare, et al.
Publicado: (2023)