Consolidating and Exploring Antibiotic Resistance Gene Data Resources

Basil Britto Xavier; Anupam J. Das; Guy Cochrane; Sandra De Ganck; Samir Kumar-Singh; Frank Møller Aarestrup; Herman Goossens; Surbhi Malhotra-Kumar

doi:10.1128/JCM.02717-15

Consolidating and Exploring Antibiotic Resistance Gene Data Resources

Basil Britto Xavier, Anupam J. Das, Guy Cochrane, Sandra De Ganck, Samir Kumar-Singh, Frank Møller Aarestrup, Herman Goossens, Surbhi Malhotra-Kumar

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

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.

Original language	English
Journal	Journal of Clinical Microbiology
Volume	54
Issue number	4
Pages (from-to)	851-859
Number of pages	9
ISSN	0095-1137
DOIs	https://doi.org/10.1128/JCM.02717-15
Publication status	Published - 2016

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10.1128/JCM.02717-15

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809949/pdf/zjm851.pdf

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title = "Consolidating and Exploring Antibiotic Resistance Gene Data Resources",

abstract = "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.",

author = "Xavier, {Basil Britto} and Das, {Anupam J.} and Guy Cochrane and {De Ganck}, Sandra and Samir Kumar-Singh and Aarestrup, {Frank M{\o}ller} and Herman Goossens and Surbhi Malhotra-Kumar",

year = "2016",

doi = "10.1128/JCM.02717-15",

language = "English",

volume = "54",

pages = "851--859",

journal = "Journal of Clinical Microbiology",

issn = "0095-1137",

publisher = "American Society for Microbiology",

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Consolidating and Exploring Antibiotic Resistance Gene Data Resources. / Xavier, Basil Britto; Das, Anupam J.; Cochrane, Guy; De Ganck, Sandra; Kumar-Singh, Samir; Aarestrup, Frank Møller; Goossens, Herman; Malhotra-Kumar, Surbhi.

In: Journal of Clinical Microbiology, Vol. 54, No. 4, 2016, p. 851-859.

Research output: Contribution to journal › Journal article › Research › peer-review

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AU - Xavier, Basil Britto

AU - Das, Anupam J.

AU - Cochrane, Guy

AU - De Ganck, Sandra

AU - Kumar-Singh, Samir

AU - Aarestrup, Frank Møller

AU - Goossens, Herman

AU - Malhotra-Kumar, Surbhi

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N2 - 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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U2 - 10.1128/JCM.02717-15

DO - 10.1128/JCM.02717-15

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