ARGDIT: a validation and integration toolkit for Antimicrobial Resistance Gene Databases
Abstract
Antimicrobial resistance is currently one of the main challenges in public health due to the excessive use of antimicrobials in medical treatments and agriculture. The advancements in high-throughput next-generation sequencing and development of bioinformatics tools allow simultaneous detection and identification of antimicrobial resistance genes (ARGs) from clinical, food and environment samples, to monitor the prevalence and track the dissemination of these ARGs. Such analyses are however reliant on a comprehensive database of ARGs with accurate sequence content and annotation. Most of the current ARG databases are therefore manually curated, but this is a time-consuming process and the resulting curation errors could be hard to detect. Several secondary ARG databases consolidate contents from different source ARG databases, and hence modifications in the primary databases might not be propagated and updated promptly in the secondary ARG databases.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 05, 2018
- Source ID
- 10.1093/bioinformatics/bty987
Entities
People
- Jimmy Ka Ho Chiu
- Rick Twee-Hee Ong
Organizations
- National Medical Research Council
- National University of Singapore
- Naval Medical Research Center