Multi-class classification of drug resistance in MTB clinical isolates
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Updated
May 21, 2024 - Shell
Multi-class classification of drug resistance in MTB clinical isolates
2016 Sigma factor network in M. tuberculosis | https://jananiravi.github.io/publication/2016/natcomm/
Variant barcoding pipeline using single nucleotide polymorphisms (SNPs) for the generation of M. orygis standardised markers for diagnostic and epidemiological use.
Multi-class classification of drug resistance in MTB clinical isolates
Variant detection and lineage barcoding of Mycobacterium tuberculosis
List of online databases and resources for Mycobacterium Tuberculosis
A command-line tool to genotype Mycobacterium tuberculosis lineage from a VCF file
Deep Learning-based A Tool used to Drug Resistance Prediction of Mycobacterium tuberculosis Utilizing Whole Genome Mutations
R Color package for Mycobacterium tuberculosis complex
An nf-core (meta) pipeline for analysis of different members of Mycobacterium tuberculosis complex.
Multipurpose tool for targeted variant calling of genetic polymorphisms in Mycobacterium Tuberculosis
Database for storage of M. tuberculosis genomics analysis results
Characterization of Mycobacterium tuberculosis complex species using mummer and nucdiff
Comprehensive pipeline for detection of TB from ONT adaptive sequencing and amplicon data.
A snakemake workflow for regions of difference discovery in Mycobacterium tuberculosis complex (MTBC) samples
Rapid and precise prediction of Mycobacterium tuberculosis complex families
MTBSeq made simple and easy using Nextflow and nf-core standard.
Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data
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