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An analysis pipeline: the MRSN Integrated Genome Handling Tool (MIGHT) automates quality control, taxonomic classification, de novo assembly, molecular typing, comprehensive predictions of resistant genotypes, and clustering by core genome MLST (cgMLST) prior to reference-based SNP analysis. MIGHT is a docker-based python multiprocessing pipeline incorporating state-of-the-art tools (e.g. kraken2, shovill, bakta, AMRfinder…) for microbial genomics.
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A curated genome repository and database of genotypic markers: with >95,000 sequenced isolates. In sync with MIGHT, this standardizes and centralizes the storage of isolate metadata, sequencing reads, assemblies, QC metrics, antibiotic resistance genes prediction, molecular typing results (sequence-types and cgMLST clusters) and more.
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A front-end query and reporting tool: to functionalize and visualize the genomic data in real-time. This Reactjs web application acts as a dashboard interface for the database enabling all users to perform complex queries (e.g. combinations of date, site, type, species ID, lineage, resistance genes, genetic relatedness to other genomes in the repository etc.). Results are visualized in interactive diagrams of genetic relatedness, metadata tables and exportable reports.
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