Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data
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Updated
May 23, 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.
Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data
A pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis with a focus on clinical decision making as well as research
MTBSeq made simple and easy using Nextflow and nf-core standard.
Rapid and precise prediction of Mycobacterium tuberculosis complex families
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
Characterization of Mycobacterium tuberculosis complex species using mummer and nucdiff
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
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
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.
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