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

Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data

An nf-core (meta) pipeline for analysis of different members of Mycobacterium tuberculosis complex.

Genome classificator using machine learning and SNP markers.

MTBSeq made simple and easy using Nextflow and nf-core standard.

A snakemake workflow for regions of difference discovery in Mycobacterium tuberculosis complex (MTBC) samples

Rapid and precise prediction of Mycobacterium tuberculosis complex families

A TBProfiler output parser used to classify the severity of Mycobacterium tuberculosis mutations.

R Color package for Mycobacterium tuberculosis complex

Comprehensive pipeline for detection of TB from ONT adaptive sequencing and amplicon data.

Multipurpose tool for targeted variant calling of genetic polymorphisms in Mycobacterium Tuberculosis

Characterization of Mycobacterium tuberculosis complex species using mummer and nucdiff

Database for storage of M. tuberculosis genomics analysis results

List of online databases and resources for Mycobacterium Tuberculosis

Deep Learning-based A Tool used to Drug Resistance Prediction of Mycobacterium tuberculosis Utilizing Whole Genome Mutations

Bioinformatics analysis used to determine reinfection and relapse tuberculosis using whole genome sequencing data.

A command-line tool to genotype Mycobacterium tuberculosis lineage from a VCF file