Resistance prediction using coloured de Bruijn graphs
Software called Mykrobe, developed by Martin Hunt and Phelim Bradley, works for Illumina and Nanopore data, for Mycobacterium tuberculosis, Staphylococcus aureus, Shigella sonnei, Salmonella typhi and Salmonella enterica serotype Paratyphi B. Improved resistance prediction for TB
DrPRG was designed as an improved version of Mykrobe by Michael Hall, based on Pandora's minimizer DAGs instead of Mykrobe's coloured de Bruijn graph. DrPRG only supports Mtb for the moment though. Genetic basis for resistance in TB
We spent 5 years, as part of the CRyPTIC project, collecting, sequencing and phenotyping over 12,000 clinical isolates of M. tuberculosis from around the world and publishing them as an open dataset. We focussed on how to best identify and jointly genotype genetic variants in the cohort, and enable our collaborators doing GWAS and ML on the data. This fed directly into the first version of the WHO Catalogue of TB resistance mutations. Single and multicopy AMR gene detection from long reads
Using gene de Bruijn graphs with a tool called Amira, developed by Dan Anderson