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Related Experiment Video

Updated: Jul 12, 2026

DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat (VNTR) - Fragment Length Analysis (FLA)
09:39

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Published on: July 15, 2011

Database-driven multi locus sequence typing (MLST) of bacterial pathogens.

M S Chan1, M C Maiden, B G Spratt

  • 1The Wellcome Trust Centre for the Epidemiology of Infectious Disease, University of Oxford, South Parks Road, Oxford OX1 3FY, UK. mchan@molbiol.ox.ac.uk

Bioinformatics (Oxford, England)
|November 29, 2001
PubMed
Summary

Multi Locus Sequence Typing (MLST) provides unambiguous bacterial identification using gene sequencing. A new software system, mlstdb, enables global researchers to query sequence data against central databases online.

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Published on: June 17, 2019

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08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Microbiology
  • Bioinformatics
  • Genetics

Background:

  • Multi Locus Sequence Typing (MLST) is an advanced bacterial typing method.
  • It analyzes DNA sequences of seven house-keeping genes for bacterial characterization.
  • MLST is crucial for tracking disease-causing and antibiotic-resistant bacterial strains.

Purpose of the Study:

  • To develop a robust software system for MLST data management and querying.
  • To facilitate global access to bacterial sequence databases.
  • To enhance the utility of MLST in public health and research.

Main Methods:

  • Development of a database-driven software system named mlstdb.
  • Utilizing Perl scripts for database table definition and interface generation.
  • Implementation of dynamic web pages for efficient database querying.

Main Results:

  • The mlstdb system is operational and used by laboratories worldwide.
  • It allows researchers to query nucleotide sequence data against central databases via the internet.
  • The system provides a user-friendly interface for accessing and analyzing MLST data.

Conclusions:

  • The mlstdb software significantly enhances the accessibility and usability of MLST data.
  • It supports global efforts in bacterial surveillance and research.
  • This system standardizes and centralizes bacterial typing information.