关键词: BioinformaticsBioinformatics pipeline MutationMutations catalog Mycobacterium tuberculosisMycobacterium tuberculosis (M. tuberculosis) complex Resistance prediction

Mesh : Mycobacterium tuberculosis / genetics drug effects Whole Genome Sequencing / methods Microbial Sensitivity Tests / methods Humans Antitubercular Agents / pharmacology Computational Biology / methods Genome, Bacterial Drug Resistance, Bacterial / genetics Mutation Tuberculosis / microbiology drug therapy

来  源:   DOI:10.1007/978-1-0716-3981-8_18

Abstract:
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.
摘要:
结核分枝杆菌复合体(MTBC)分离株的全基因组测序已被证明可以准确预测许多一线和二线抗结核药物的耐药性和敏感性。然而,预测MTBC分离株抗微生物耐药性的生物信息学管道和突变目录通常是定制的,并且难以获得详细的方案。这里,我们提供了处理和解释短读测序数据的分步工作流程,并概述了可用的分析流程.
公众号