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
SARS-CoV-2 Illumina GeNome Assembly Line (SIGNAL) update
The SARS-CoV-2 Illumina GeNome Assembly Line (SIGNAL) has been updated to version 1.6.2, with an important hotfix to address software version incompatibility for rules using
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
Congratulations Ph.D. student Jalees Nasir!
Congratulations Jalees Nasir on being awarded the Dr. Jordon Page Harshman Bursary! The Dr. Jordan Page Harsham Bursary was established in 2011 by the Harshman
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
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:
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database
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
Resistome Gene Identifier (RGI) version 6.0.0
RGI version 6.0.0 – Major release, with parameter and reference data loading changes that may impact scripts. Please see updated README. Added an option (–keep)
Welcome new M.Sc. student Mateusz Wlodarski!
The McArthur lab welcomes back past undergraduate student and now newly minted Biochemistry & Biomedical Sciences M.Sc. student Mateusz Wlodarski! Mateusz will be working on
Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing
Raphenya et al. Scientific Data volume 9, Article number: 341 (2022). Whole genome sequencing (WGS) is a key tool in identifying and characterising disease-associated bacteria