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Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe.

other tools on 10207 (=5845+4362) samples, and also show that gives concordant results with nanopore data.  We measure the ability of-based DST to guide personalized therapeutic regimen design in the ...

MALDI-TOF for the identification of Mycobacteria and their drug resistance profiles

during the protein extraction, semi-quantitative measurements of the bacterial biomass can be derived from the MALDI- TOF  spectra7. In this study, we show that this technology can be applied on ...

WIV-ISP's experiences in the use of MALDI-TOF for the identification of Mycobacteria and their drug resistance profiles

Mycobacteria, 88.03%. Five organisms were misidentified. A novel method of drug resistance testing was also presented, which uses semi-quantitative measurement of bacterial biomass by creating MALDI- TOF spectra ...

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