ARG-sniper: Reference database for different tools

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Authors: Quadram Institute
Cited by: 0

Abstract

Antimicrobial, biocide, and metal resistance gene sequences were collected from seven public databases: AMRFinderPlus, ARG-ANNOT, BacMet, CARD, MegaRes, ResFinder, and ResFinderFG. From an initial set of 31,817 sequences, genes lacking canonical start and/or stop codons were removed, yielding 29,341 sequences. These were subsequently deduplicated and clustered at 90% sequence identity and coverage thresholds, then refined using GeneAssimilator to generate a unified, non-redundant resistance gene collection. Database-specific input formats were reconstructed from this unified collection for five AMR detection tools: ARGprofiler, ARIBA, GROOT, KARGA, and SRST2.

Fields of Study & Subjects

Antibiotic Resistance in Bacteria Antibiotic Use and Resistance Genomics and Phylogenetic Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Dataset