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Microbial Classification System01:24

Microbial Classification System

Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
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Related Experiment Video

Updated: Jul 3, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

The Microbial Rosetta Stone: a database system for tracking infectious microorganisms.

Kumar L Hari1, Alan T Goates, Ravi Jain

  • 1Ibis Biosciences, 1891 Rutherford Rd., Carlsbad, CA 92008, USA.

International Journal of Legal Medicine
|July 9, 2008
PubMed
Summary
This summary is machine-generated.

The Microbial Rosetta Stone (MRS) database supports law enforcement with integrated microbial pathogen data. It aids investigations by connecting diverse data on microbes and toxins for biocrime and bioterrorism threats.

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Last Updated: Jul 3, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

Direct Microbial Identification using An Automated Microbial Identification System to Facilitate the EUCAST RAST Method Without Mass Spectrometry
09:07

Direct Microbial Identification using An Automated Microbial Identification System to Facilitate the EUCAST RAST Method Without Mass Spectrometry

Published on: May 24, 2024

Area of Science:

  • Microbiology
  • Bioinformatics
  • Forensic Science

Background:

  • Law enforcement and intelligence agencies require comprehensive microbial pathogen data for investigations.
  • Existing data systems were insufficient for the diverse information needed for biocrime and bioterrorism analysis.

Purpose of the Study:

  • To develop the Microbial Rosetta Stone (MRS) database system.
  • To create a connected repository of microbial pathogen data for law enforcement and intelligence communities.

Main Methods:

  • Enhanced an existing data model for medical and epidemiological information.
  • Integrated expert-curated microbial pathogen data, including priority lists, sequence metadata, taxonomy, diseases, detection protocols, and experimental results.
  • Developed software tools for data loading, curation, and connection.

Main Results:

  • The MRS database provides a comprehensive and connected repository of microbial pathogen information.
  • The system supports real-time data population by multiple users across different locations.
  • Querying tools offer powerful access to the integrated data.

Conclusions:

  • The MRS database system is a valuable resource for law enforcement and intelligence agencies.
  • It enhances the ability to investigate biocrime and bioterrorism events through accessible, curated microbial data.
  • Continuous data collection and updating are essential for maintaining the system's utility.