ArticlePloS one2015
TGS-TB: Total Genotyping Solution for Mycobacterium tuberculosis Using Short-Read Whole-Genome Sequencing.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026Pooled it
- Machine learning method for the prediction of Bedaquiline-resistantLife science alliance · 2026Article
- Genomic characterization of XDR Mycobacterium tuberculosis isolates in Argentina (2006-2015).BMC infectious diseases · 2025Article
- Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical tools.FEMS microbiology reviews · 2025Review
- Diagnostic yield of nine user-friendly bioinformatics tools for predicting Mycobacterium tuberculosis drug resistance: A systematic review and network meta-analysis.PLOS global public health · 2025Article
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- New insight in molecular detection of Mycobacterium tuberculosis.AMB Express · 2024Review
- TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations.BMC genomics · 2024Article
- Whole-genome sequencing-based analyses of drug-resistant Mycobacterium tuberculosis from Taiwan.Scientific reports · 2023Article
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- Non-tuberculous mycobacterial disease associated withFrontiers in veterinary science · 2023Article
- Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine.Frontiers in microbiology · 2023Review
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- SAM-TB: a whole genome sequencing data analysis website for detection of Mycobacterium tuberculosis drug resistance and transmission.Briefings in bioinformatics · 2022Article
- Whole genome sequencing reveals large deletions and other loss of function mutations inMicrobial genomics · 2021Article
- Tuberculosis in Australia's tropical north: a population-based genomic epidemiological study.The Lancet regional health. Western Pacific · 2021Article
- GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.Genome medicine · 2021Article
- Import and transmission of Mycobacterium orygis and Mycobacterium africanum, Norway.BMC infectious diseases · 2021Article
- Five-year microevolution of a multidrug-resistant Mycobacterium tuberculosis strain within a patient with inadequate compliance to treatment.BMC infectious diseases · 2021Article
- Genomic Analysis of Multidrug-ResistantFrontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome sequencing (WGS) with next-generation DNA sequencing (NGS) is an increasingly accessible and affordable method for genotyping hundreds of Mycobacterium tuberculosis (Mtb) isolates, leading to more effective epidemiological studies involving single nucleotide variations (SNVs) in core genomic sequences based on molecular evolution. We developed an all-in-one web-based tool for genotyping Mtb, referred to as the Total Genotyping Solution for TB (TGS-TB), to facilitate multiple genotyping platforms using NGS for spoligotyping and the detection of phylogenies with core genomic SNVs, IS6110 insertion sites, and 43 customized loci for variable number tandem repeat (VNTR) through a user-friendly, simple click interface. This methodology is implemented with a KvarQ script to predict MTBC lineages/sublineages and potential antimicrobial resistance. Seven Mtb isolates (JP01 to JP07) in this study showing the same VNTR profile were accurately discriminated through median-joining network analysis using SNVs unique to those isolates. An additional IS6110 insertion was detected in one of those isolates as supportive genetic information in addition to core genomic SNVs. The results of in silico analyses using TGS-TB are consistent with those obtained using conventional molecular genotyping methods, suggesting that NGS short reads could provide multiple genotypes to discriminate multiple strains of Mtb, although longer NGS reads (≥ 300-mer) will be required for full genotyping on the TGS-TB web site. Most available short reads (~100-mer) can be utilized to discriminate the isolates based on the core genome phylogeny. TGS-TB provides a more accurate and discriminative strain typing for clinical and epidemiological investigations; NGS strain typing offers a total genotyping solution for Mtb outbreak and surveillance. TGS-TB web site: https://gph.niid.go.jp/tgs-tb/.
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