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A Bioinformatics Whole-Genome Sequencing Workflow for Clinical Mycobacterium tuberculosis Complex Isolate Analysis, Validated Using a Reference Collection Extensively Characterized with Conventional Methods and In Silico Approaches
Author(s) -
Bert Bogaerts,
Thomas Delcourt,
Karine Soetaert,
Samira Boarbi,
PieterJan Ceyssens,
Raf Winand,
Julien Van Braekel,
Sigrid C. J. De Keersmaecker,
Nancy Roosens,
Kathleen Marchal,
Vanessa Mathys,
Kevin Vanneste
Publication year - 2021
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.00202-21
Subject(s) - in silico , workflow , mycobacterium tuberculosis , whole genome sequencing , computational biology , mycobacterium tuberculosis complex , genome , biology , tuberculosis , bioinformatics , genetics , computer science , medicine , gene , database , pathology
The use of whole-genome sequencing (WGS) for routine typing of bacterial isolates has increased substantially in recent years. ForMycobacterium tuberculosis (MTB), in particular, WGS has the benefit of drastically reducing the time required to generate results compared to most conventional phenotypic methods.

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