Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data
نویسندگان
چکیده
منابع مشابه
Mycobacterium tuberculosis whole genome sequencing and protein structure modelling provides insights into anti-tuberculosis drug resistance
BACKGROUND Combating the spread of drug resistant tuberculosis is a global health priority. Whole genome association studies are being applied to identify genetic determinants of resistance to anti-tuberculosis drugs. Protein structure and interaction modelling are used to understand the functional effects of putative mutations and provide insight into the molecular mechanisms leading to resist...
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ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2019
ISSN: 1664-8021
DOI: 10.3389/fgene.2019.00922