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Article

Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-Learning Approach.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Sergeev Roman Sergeevich, Kavaliou Ivan S, Sataneuski Uladzislau V, Gabrielian Andrei, Rosenthal Alex, Tartakovsky Michael, Tuzikov Alexander V

Abstract excerpt

Emergence of drug-resistant microorganisms has been recognized as a serious threat to public health worldwide. This problem is extensively discussed in the context of tuberculosis treatment. Alterations in pathogen genomes are among the main mechanisms by which microorganisms exhibit drug resistance. Analysis of 144 M. tuberculosis strains of different phenotypes including drug susceptible, MDR, and XDR isolated...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 28678713
DOI: 10.1109/TCBB.2017.2720669

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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