Content | |
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Description | Database focused on crowd-sourced curation of ARG pulled from multiple sources. |
Data types captured | Antimicrobial resistance |
Organisms | Bacteria |
Access | |
Website |
bench |
Miscellaneous | |
Bookmarkable entities | yes |
ARGminer is database that focuses on the novel method of crowd-sourced curation over manual curation of Antibiotic Resistance Genes (ARG) pulled from a multiple sources such as CARD, ARDB, NDARO, DeepARG, Uniprot, ResFinder, and SARG. [1] Additionally, due to the existence of Mobile Genetic Elements (MGE), ARGminer also interfaces with PATRIC and ACLAME. [1] ARGminer annotated genes using their gene name, antibiotic category, resistance mechanism, evidence for mobility and occurrence in clinically important bacterial strains. [1] There are two groups of crowd-sourced curators. One was hired on Amazon Mechanical Turk which offers a broad audience of crowd-sourced experts and non-experts that can annotate for monetary reward. Due to the presence of mixed expertise, each user is only allowed maximum 20 annotations. The other group is a graduate-level microbiology class. [1]
Content | |
---|---|
Description | Database focused on crowd-sourced curation of ARG pulled from multiple sources. |
Data types captured | Antimicrobial resistance |
Organisms | Bacteria |
Access | |
Website |
bench |
Miscellaneous | |
Bookmarkable entities | yes |
ARGminer is database that focuses on the novel method of crowd-sourced curation over manual curation of Antibiotic Resistance Genes (ARG) pulled from a multiple sources such as CARD, ARDB, NDARO, DeepARG, Uniprot, ResFinder, and SARG. [1] Additionally, due to the existence of Mobile Genetic Elements (MGE), ARGminer also interfaces with PATRIC and ACLAME. [1] ARGminer annotated genes using their gene name, antibiotic category, resistance mechanism, evidence for mobility and occurrence in clinically important bacterial strains. [1] There are two groups of crowd-sourced curators. One was hired on Amazon Mechanical Turk which offers a broad audience of crowd-sourced experts and non-experts that can annotate for monetary reward. Due to the presence of mixed expertise, each user is only allowed maximum 20 annotations. The other group is a graduate-level microbiology class. [1]