Whole genome sequencing of Mycobacterium tuberculosis complex (MTBC) isolates has been shown to provide accurate predictions for resistance and susceptibility for many first- and second-line anti-tuberculosis drugs. However, bioinformatic pipelines and mutation catalogs to predict antimicrobial resistances in MTBC isolates are often customized and detailed protocols are difficult to access. Here, we provide a step-by-step workflow for the processing and interpretation of short-read sequencing data and give an overview of available analysis pipelines.
Keywords: BioinformaticsBioinformatics pipeline; MutationMutations catalog; Mycobacterium tuberculosisMycobacterium tuberculosis (M. tuberculosis) complex; Resistance prediction.
© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.