MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing

(database[TitleAbstract]) AND (Nucleic acids research[Journal]) 2023-06-06

Summary:

Antimicrobial resistance (AMR) is considered a critical threat to public health, and genomic/metagenomic investigations featuring high-throughput analysis of sequence data are increasingly common and important. We previously introduced MEGARes, a comprehensive AMR database with an acyclic hierarchical annotation structure that facilitates high-throughput computational analysis, as well as AMR++, a customized bioinformatic pipeline specifically designed to use MEGARes in high-throughput analysis...

Link:

https://pubmed.ncbi.nlm.nih.gov/36382407/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20230606021736&v=2.17.9.post6+86293ac

From feeds:

📚BioDBS Bibliography » (database[TitleAbstract]) AND (Nucleic acids research[Journal])

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Authors:

Nathalie Bonin, Enrique Doster, Hannah Worley, Lee J Pinnell, Jonathan E Bravo, Peter Ferm, Simone Marini, Mattia Prosperi, Noelle Noyes, Paul S Morley, Christina Boucher

Date tagged:

06/06/2023, 02:17

Date published:

11/16/2022, 06:00