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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/288519
Title: Identification of genomic mutations associated with drug-resistance
Authors: Chen, Y.
Tuzikov, A.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Биотехнология
Issue Date: 2022
Publisher: Минск : БГУ
Citation: Информационные системы и технологии = Information Systems and Technologies : материалы междунар. науч. конгресса по информатике. В 3 ч. Ч. 2, Респ. Беларусь, Минск, 27–28 окт. 2022 г. / Белорус. гос. ун-т ; редкол.: С. В. Абламейко (гл. ред.) [и др.]. – Минск : БГУ, 2022. – С. 13-19.
Abstract: Drug resistance in tuberculosis (TB) is a global public health problem, and resistance testing early in treatment can help prevent antibiotic misuse. The data used were from the NIAID TB Portals project (https://tbportals.niaid.nih.gov). Mtb whole genome sequences of 3178 patients and resistance testing to 27 drugs were utilized after quality checks. To identify mutant loci associated with drug resistance, single and multiple marker tests were used. Important mutant loci associated with drug resistance in TB were identified. On the one hand, these mutant loci can provide important information for understanding drug resistance in TB, and on the other hand, they can be used as a rapid screening method for various forms of Mtb resistance
URI: https://elib.bsu.by/handle/123456789/288519
ISBN: 978-985-881-425-0 (ч. 2); ISBN 978-985-881-427-4
Sponsorship: We acknowledge support from TB Portals Consortium and the TB Portals Program (https://tbportals.niaid.nih.gov)
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2022. Информационные системы и технологии

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