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