An optimized genomic VCF workflow for precise identification of Mycobacterium tuberculosis cluster from cross-platform whole genome sequencing data

An optimized genomic VCF workflow for precise identification of Mycobacterium tuberculosis cluster from cross-platform whole genome sequencing data

© 2019 Elsevier B.V. Whole-genome sequencing (WGS) data allow for an inference of Mycobacterium tuberculosis (Mtb) clusters by using a pairwise genetic distance of ≤12 single nucleotide polymorphisms (SNPs) as a threshold. However, a problem of discrepancies in numbers of SNPs and genetic distance m...

Full description

Saved in:
Bibliographic Details
Main Authors: Areeya Disratthakit, Licht Toyo-oka, Penpitcha Thawong, Pundharika Paiboonsiri, Nuanjun Wichukjinda, Pravech Ajawatanawong, Natthakan Thipkrua, Krairerk Suthum, Prasit Palittapongarnpim, Katsushi Tokunaga, Surakameth Mahasirimongkol
Other Authors: University of Tokyo
Format: Article
Published: 2020
Subjects:
Agricultural and Biological Sciences
Biochemistry, Genetics and Molecular Biology
Immunology and Microbiology
Medicine
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/49503
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University

Internet

https://repository.li.mahidol.ac.th/handle/123456789/49503

Similar Items