In this section
@article{Chindelevitch:2023:10.1371/journal.pcbi.1011129,
author = {Chindelevitch, L and van, Dongen M and Graz, H and Pedrotta, A and Suresh, A and Uplekar, S and Jauneikaite, E and Wheeler, N},
doi = {10.1371/journal.pcbi.1011129},
journal = {PLoS Computational Biology},
title = {Ten simple rules for the sharing of bacterial genotype-phenotype data on antimicrobial resistance},
url = {http://dx.doi.org/10.1371/journal.pcbi.1011129},
volume = {19},
year = {2023}
}
TY - JOUR
AB - The increasing availability of high-throughput sequencing (frequently termed next-generation sequencing (NGS)) data has created opportunities to gain deeper insights into the mechanisms of a number of diseases and is already impacting many areas of medicine and public health. The area of infectious diseases stands somewhat apart from other human diseases insofar as the relevant genomic data comes from the microbes rather than their human hosts. A particular concern about the threat of antimicrobial resistance (AMR) has driven the collection and reporting of large-scale datasets containing information from microbial genomes together with antimicrobial susceptibility test (AST) results. Unfortunately, the lack of clear standards or guiding principles for the reporting of such data is hampering the field’s advancement. We therefore present our recommendations for the publication and sharing of genotype and phenotype data on AMR, in the form of 10 simple rules. The adoption of these recommendations will enhance AMR data interoperability and help enable its large-scale analyses using computational biology tools, including mathematical modelling and machine learning. We hope that these rules can shed light on often overlooked but nonetheless very necessary aspects of AMR data sharing and enhance the field’s ability to address the problems of understanding AMR mechanisms, tracking their emergence and spread in populations, and predicting microbial susceptibility to antimicrobials for diagnostic purposes.
AU - Chindelevitch,L
AU - van,Dongen M
AU - Graz,H
AU - Pedrotta,A
AU - Suresh,A
AU - Uplekar,S
AU - Jauneikaite,E
AU - Wheeler,N
DO - 10.1371/journal.pcbi.1011129
PY - 2023///
SN - 1553-734X
TI - Ten simple rules for the sharing of bacterial genotype-phenotype data on antimicrobial resistance
T2 - PLoS Computational Biology
UR - http://dx.doi.org/10.1371/journal.pcbi.1011129
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001020066500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011129
VL - 19
ER -
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