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:

Bogaerts Bert12ORCID,Delcourt Thomas1,Soetaert Karine3,Boarbi Samira3,Ceyssens Pieter-Jan3,Winand Raf1,Van Braekel Julien1,De Keersmaecker Sigrid C. J.1,Roosens Nancy H. C.1,Marchal Kathleen425,Mathys Vanessa3,Vanneste Kevin1

Affiliation:

1. Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium

2. Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium

3. Bacterial Diseases, Sciensano, Brussels, Belgium

4. Department of Information Technology, Internet Technology and Data Science Lab (IDLab), Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium

5. Department of Genetics, University of Pretoria, Pretoria, South Africa

Abstract

The use of whole-genome sequencing (WGS) for routine typing of bacterial isolates has increased substantially in recent years. For Mycobacterium tuberculosis (MTB), in particular, WGS has the benefit of drastically reducing the time required to generate results compared to most conventional phenotypic methods.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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