Last updated on 29-4-2020 by Vanessa Mathys
Peer reviewed scientific article
English
SCIENSANO
Authors
Hunt, Martin; Bradley, Phelim; Lapierre, Simon Grandjean; Heys, Simon; Thomsit, Mark; Hall, Michael B; Malone, Kerri M; Wintringer, Penelope; Walker, Timothy M; Cirillo, Daniela M; Comas, Iñaki; Farhat, Maha R; Fowler, Phillip; Gardy, Jennifer; Ismail, Nazir; Kohl, Thomas A; Vanessa Mathys; Merker, Matthias; Niemann, Stefan; Omar, Shaheed Vally; Sintchenko, Vitali; Smith, Grace; van Soolingen, Dick; Supply, Philip; Tahseen, Sabira; Wilcox, Mark; Arandjelovic, Irena; Peto, Tim E A; Crook, Derrick W; Iqbal, ZaminKeywords
Abstract:
Two billion people are infected with , leading to 10 million new cases of active tuberculosis and 1.5 million deaths annually. Universal access to drug susceptibility testing (DST) has become a World Health Organization priority. We previously developed a software tool, , which provided offline species identification and drug resistance predictions for from whole genome sequencing (WGS) data. Performance was insufficient to support the use of WGS as an alternative to conventional phenotype-based DST, due to mutation catalogue limitations. Here we present a new tool, , which provides t…