AMR-meta: a k-mer and metafeature approach to classify antimicrobial resistance from high-throughput short-read metagenomics data

BACKGROUND: Antimicrobial resistance (AMR) is a global health concern. High-throughput metagenomic sequencing of microbial samples enables profiling of AMR genes through comparison with curated AMR databases. However, the performance of current methods is often hampered by database incompleteness an...

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Detalles Bibliográficos
Autores principales: Marini, Simone, Oliva, Marco, Slizovskiy, Ilya B, Das, Rishabh A, Noyes, Noelle Robertson, Kahveci, Tamer, Boucher, Christina, Prosperi, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116207/
https://www.ncbi.nlm.nih.gov/pubmed/35583675
http://dx.doi.org/10.1093/gigascience/giac029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116207/
https://www.ncbi.nlm.nih.gov/pubmed/35583675
http://dx.doi.org/10.1093/gigascience/giac029

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