e-learning
M. tuberculosis Variant Analysis
Abstract
Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. According to the WHO, in 2018 there were 10.0 million new cases of TB worldwide and 1.4 million deaths due to the disease, making TB the world's most deadly infectious disease. The publication of the genome of M. tuberculosis H37Rv in 1998 gave researchers a powerful new tool for understanding this pathogen. This genome has been revised since then, with the latest version being available
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How do we detect differences between a set of reads from M. tuberculosis (Mtb) and the Mtb reference genome
Learning Objectives
- How should we filter those variants
- How can we predict drug resistance from those variants
- How do we annotate those variants
Licence: Creative Commons Attribution 4.0 International
Keywords: Variant Analysis, microgalaxy, one-health, prokaryote, tuberculosis
Target audience: Students
Resource type: e-learning
Version: 30
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- Mapping
- Quality Control
Learning objectives:
- How should we filter those variants
- How can we predict drug resistance from those variants
- How do we annotate those variants
Date modified: 2024-07-26
Date published: 2020-07-25
Contributors: Peter van Heusden, Simon Gladman, Thoba Lose
Scientific topics: Genetic variation, Genomics, Microbiology, Sequence assembly, Public health and epidemiology, Infectious disease
Activity log
