Open AccessConsolidating and Exploring Antibiotic Resistance Gene Data Resources
Author(s) -
Basil Britto Xavier,
Anupam J. Das,
Guy Cochrane,
Sandra De Ganck,
Samir KumarSingh,
Frank M. Aarestrup,
Herman Goossens,
Surbhi MalhotraKumar
Publication year - 2016
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.02717-15
Subject(s) - consistency (knowledge bases) , antibiotic resistance , antibiotics , biology , multiple drug resistance , computational biology , gene , data science , data consistency , computer science , microbiology and biotechnology , bioinformatics , genetics , database , artificial intelligence
The unrestricted use of antibiotics has resulted in rapid acquisition of antibiotic resistance (AR) and spread of multidrug-resistant (MDR) bacterial pathogens. With the advent of next-generation sequencing technologies and their application in understanding MDR pathogen dynamics, it has become imperative to unify AR gene data resources for easy accessibility for researchers. However, due to the absence of a centralized platform for AR gene resources, availability, consistency, and accuracy of information vary considerably across different databases. In this article, we explore existing AR gene data resources in order to make them more visible to the clinical microbiology community, to identify their limitations, and to propose potential solutions.
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