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Capreomycin resistance prediction in two species ofMycobacteriumusing a stacked ensemble method

16 Aug 2019

Abstract excerpt

AIMS: Predicting bacterial resistance provides valuable information that can assist in clinical decisions. With recent advances in whole genome sequencing technology, the detection of antibiotic resistance (AR) proteins directly from genomic data is becoming feasible. AR genes/proteins can be identified using best-hit methods that work by comparing candidate sequences with known AR genes in public databases....

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PMID: 31419358
DOI: 10.1111/jam.14413

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