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Updated: Jul 12, 2026

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
07:35

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Published on: April 25, 2014

NTM-DB: A Comprehensive Non-tuberculosis Mycobacteria Genomic Database.

Tianyi Lu1,2,3, Cuidan Li1,2, Haobin Wei1,2,3

  • 1National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.

Genomics, Proteomics & Bioinformatics
|July 10, 2026
PubMed
Summary

A new database, NTM-DB, provides comprehensive genomic and bioinformatic resources for non-tuberculous mycobacteria (NTM) research. This resource aids in understanding NTM infections and developing improved diagnostics and treatments.

Keywords:
DatabaseGenomicsIntegrative analysisInteractive web platformNon-tuberculous mycobacteria

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Non-tuberculous mycobacteria (NTM) are environmental bacteria causing significant human infections, particularly respiratory diseases.
  • The increasing prevalence and severity of NTM infections present a global public health challenge.
  • Existing genomic data for NTM lack comprehensive, cross-species analysis resources.

Purpose of the Study:

  • To develop a specialized database, the Non-tuberculosis Mycobacteria Genomic Database (NTM-DB), for NTM researchers and clinicians.
  • To create a centralized repository for NTM genomic and bioinformatic data.
  • To provide integrated analysis tools for NTM genomic research.

Main Methods:

  • Compiled a comprehensive collection of NTM genomic data, including 16,469 genome assemblies.
  • Integrated data on type/standard strains, multi-locus sequence typing (MLST) types, resistance genes, and virulence genes.
  • Developed a user-friendly interactive website with browsing, searching, and online analysis functionalities.

Main Results:

  • NTM-DB houses 16,469 genome assemblies, representing 177 species and 12 subspecies.
  • The database includes 705 MLST types, 33,240 resistance genes, and 74,315 virulence genes.
  • Online analysis tools enable customized genotyping, cross-species phylogeny, pan-genome analysis, and virulence/drug resistance gene annotation.

Conclusions:

  • NTM-DB is a valuable and comprehensive resource for NTM research and clinical practice.
  • The database facilitates improved diagnosis and treatment of NTM-related diseases.
  • NTM-DB supports scientific discovery and enhances clinical decision-making in NTM infections.