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CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database
- Source :
- Nucleic Acids Research
- Publication Year :
- 2016
- Publisher :
- Oxford University Press (OUP), 2016.
-
Abstract
- The Comprehensive Antibiotic Resistance Database (CARD; http://arpcard.mcmaster.ca) is a manually curated resource containing high quality reference data on the molecular basis of antimicrobial resistance (AMR), with an emphasis on the genes, proteins and mutations involved in AMR. CARD is ontologically structured, model centric, and spans the breadth of AMR drug classes and resistance mechanisms, including intrinsic, mutation-driven and acquired resistance. It is built upon the Antibiotic Resistance Ontology (ARO), a custom built, interconnected and hierarchical controlled vocabulary allowing advanced data sharing and organization. Its design allows the development of novel genome analysis tools, such as the Resistance Gene Identifier (RGI) for resistome prediction from raw genome sequence. Recent improvements include extensive curation of additional reference sequences and mutations, development of a unique Model Ontology and accompanying AMR detection models to power sequence analysis, new visualization tools, and expansion of the RGI for detection of emergent AMR threats. CARD curation is updated monthly based on an interplay of manual literature curation, computational text mining, and genome analysis.
- Subjects :
- 0301 basic medicine
Database
Data curation
Computational Biology
Drug Resistance, Microbial
Web Browser
Biology
computer.software_genre
Microbiology
Genome
Visualization
Resistome
Data sharing
03 medical and health sciences
Reference data
030104 developmental biology
Biological Ontologies
Databases, Genetic
Controlled vocabulary
Genetics
Ontology
Database Issue
computer
Data Curation
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....6e0952514869a7175eb8c597212ca49f
- Full Text :
- https://doi.org/10.1093/nar/gkw1004