Overcoming the pitfalls of automatic interpretation of whole genome sequencing data by online tools for the prediction of pyrazinamide resistance in Mycobacterium tuberculosis.

Overcoming the pitfalls of automatic interpretation of whole genome sequencing data by online tools for the prediction of pyrazinamide resistance in Mycobacterium tuberculosis.

<h4>Objectives</h4>Automated online software tools that analyse whole genome sequencing (WGS) data without the need for bioinformatics expertise can motivate the implementation of WGS-based molecular drug susceptibility testing (DST) in routine diagnostic settings for tuberculosis (TB)....

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Bibliographic Details
Main Authors: Tomotada Iwamoto, Yoshiro Murase, Shiomi Yoshida, Akio Aono, Makoto Kuroda, Tsuyoshi Sekizuka, Akifumi Yamashita, Kengo Kato, Takemasa Takii, Kentaro Arikawa, Seiya Kato, Satoshi Mitarai
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0212798

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https://doi.org/10.1371/journal.pone.0212798

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