NastyBugs

NastyBugs identifies antimicrobial resistance (AMR) determinants in metagenomic sequencing data from samples containing multidrug-resistant bacteria to inform antibiotic selection in clinical settings and support AMR research.


Key Features:

  • Antimicrobial Resistance Identification: Detects genetic markers associated with antimicrobial resistance from metagenomic sequencing data.
  • Facilitation of Smarter Drug Selection: Produces AMR profiles that inform antibiotic selection in clinical microbiology.
  • Acceleration of Academic Research: Generates rapid AMR profiles from metagenomic samples to support studies of resistance mechanisms and dynamics.

Scientific Applications:

  • Clinical microbiology: Tailors antibiotic therapy by providing AMR information derived from metagenomic sequencing.
  • Academic research: Supports investigation of antimicrobial resistance mechanisms and population dynamics using metagenomic-derived AMR profiles.
  • Environments with multidrug-resistant bacteria: Applies to samples collected from settings where multidrug-resistant bacteria are prevalent to extract AMR information from metagenomes.

Methodology:

Analyzes metagenomic sequencing data to detect genetic markers associated with antimicrobial resistance and predict which resistance types are likely present.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Shell
Added:
8/13/2018
Last Updated:
12/10/2018

Operations

Publications

Tsang H, Moss M, Fedewa G, Farag S, Quang D, Rakov AV, Busby B. NastyBugs: A simple method for extracting antimicrobial resistance information from metagenomes. F1000Research. 2017;6:1971. doi:10.12688/f1000research.12781.1.

Funding: - National Cancer Institute: D14PD00826

Documentation