Whole-genome sequencing reveals lineage-associated drug resistance and enables machine learning-based prediction in <i>Mycobacterium tuberculosis</i> clinical isolates. [PDF]
Front MicrobiolHao Z +5 more
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Utilization of a CRISPRi-based <i>ex vivo</i> challenge model to reveal temporally dependent gene essentiality in intracellular <i>Mycobacterium tuberculosis</i>. [PDF]
mBioTheriault ME +11 more
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Unraveling Epistatic Interactions Between Sites Under Drug-Dependent Selection in the Mycobacterium tuberculosis Genome. [PDF]
Mol Biol EvolPopova AV +5 more
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In Silico Design of gRNA for CRISPR System for Detection of Multidrug Resistant Tuberculosis Using Indian Mycobacterium tuberculosis Genomes: A Computational Study. [PDF]
CureusMittal A, Manna S, Nelson V, Ladha N.
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<i>In silico</i> analysis of the functional implications of drug resistance associated mutations in <i>Mycobacterium tuberculosis</i>. [PDF]
Comput Struct Biotechnol JPal A +4 more
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Key impact of Beijing strains including new resistant clusters on spread of multidrug-resistant tuberculosis in northern Russia. [PDF]
Microbiol SpectrPopova Y +6 more
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Scheduling allocation in 5G slicing networks utilizing weighted exponential and logarithmic functions to improve QoS. [PDF]
Sci RepNong X, Liang X.
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A MITRE D3FEND guided blockchain based cyber resilient framework for IPv6 based 6G enabled healthcare networks. [PDF]
Sci RepRohith K, Jain A, Shaik MN.
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5G/6G Networks for Wireless Communication and IoT. [PDF]
Sensors (Basel)Suraci C, Araniti G.
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The performance of the WHO mutation catalog of <i>Mycobacterium tuberculosis</i> in the diagnosis of drug resistance to rifampicin-resistant strains in Wenzhou, China. [PDF]
Microbiol SpectrHe G +6 more
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