Progress and application of whole genome sequencing data analysis of Mycobacterium tuberculosis

doi:10.19982/j.issn.1000-6621.20220219

Abstract

Abstract:

Whole genome sequencing technology has been widely used in Mycobacterium tuberculosis research, including lineage identification, microevolution, drug resistance prediction, transmission monitoring and mixed infection detection, etc. Bioinformatics in genomics research runs through all stages from data processing, analysis and visualization, and plays a crucial role in the application of whole genome sequencing. Current mainstream bioinformatics software and platforms commonly used in the whole genome sequencing of Mycobacterium tuberculosis were mainly reviewed, and the newly developed bioinformatics methods in recent years from the aspects of availability, software selection and application were summarized, to provide a reference for researchers in the same field to improve the data analysis more conveniently and flexibly, and quickly select research tools.

Key words: Mycobacterium tuberculosis, Whole genome sequencing, Bioinformatics

CLC Number:

Li Xiangchen, Liu Zhengwei, Lu Yewei, Zhu Yelei, Zhang Mingwu, Jiang Jinqin, Peng Xiaojun, Wang Weixin, Gao Junshun, Wang Xiaomeng. Progress and application of whole genome sequencing data analysis of Mycobacterium tuberculosis[J]. Chinese Journal of Antituberculosis, 2022, 44(11): 1193-1198. doi: 10.19982/j.issn.1000-6621.20220219

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