CARD and CZ ID are thrilled to launch a new CZ ID module that allows researchers to detect and analyze antimicrobial resistance (AMR) genes in
Category: databases
Alcock, B.P., A.R. Raphenya, A. Edalatmand, & A.G. McArthur. 2023. The Comprehensive Antibiotic Resistance Database – curating the global resistome. Oral presentation at the 16th
Arman Edalatmand & Andrew G McArthur. 2023. Database, doi: 10.1093/database/baad023. Scientific literature is published at a rate that makes manual data extraction a highly time-consuming
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CBW & VTEC 2023
They’re back! Thanks to Karyn Mukiri, Jalees Nasir, and Madeline McCarthy for serving as Teaching Assistants for the re-booted Canadian Bioinformatics Workshop in Infectious Disease
The McArthur Lab welcomes Team Meta-Model, a volunteer curation team led by former BioPharm Co-Op Keaton Smith, working on curating and upgrading the Comprehensive Antibiotic
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IIDR Trainee Day 2022!
KARYN MUKIRI – Predicting the total resistome KEATON SMITH – Advancements in curation of the Comprehensive Antibiotic Resistance Database JALEES NASIR – Viral fishing expedition:
Alcock et al. 2023. Nucleic Acids Res Oct 20, 2022:gkac920. (online ahead of print) The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance
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Enabling genomic island prediction and comparison in multiple genomes to investigate bacterial evolution and outbreaks
Bertelli et al. Microb Genom. 2022 May;8(5). doi: 10.1099/mgen.0.000818. Outbreaks of virulent and/or drug-resistant bacteria have a significant impact on human health and major economic
Today we say goodbye to William Huynh, who first joined us as an undergraduate thesis student and then stayed on to work as the Comprehensive
Aaron Petkau performed his Visual & Automated Disease Analytics Program internship (Univ. of Manitoba) with us during the summer of 2020, creating the CARD:Live graphic