Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
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Updated
Jul 25, 2024 - Python
Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.
A pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis with a focus on clinical decision making as well as research
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MTBSeq made simple and easy using Nextflow and nf-core standard.
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An nf-core (meta) pipeline for analysis of different members of Mycobacterium tuberculosis complex.
R Color package for Mycobacterium tuberculosis complex
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Database for storage of M. tuberculosis genomics analysis results
List of online databases and resources for Mycobacterium Tuberculosis
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Deep Learning-based A Tool used to Drug Resistance Prediction of Mycobacterium tuberculosis Utilizing Whole Genome Mutations
2016 Sigma factor network in M. tuberculosis | https://jananiravi.github.io/publication/2016/natcomm/
Multi-class classification of drug resistance in MTB clinical isolates
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