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StaphScope is a comprehensive bioinformatics tool for Staphylococcus aureus genomic analysis including MLST typing, spa typing, SCCmec analysis, antimicrobial resistance detection, virulence factors, plasmid profiling, and lineage prediction from whole genome sequencing data. Designed specifically for MRSA research
Application of Machine Learning with MALDI-TOF MS for Rapid Differentiation between Methicillin-susceptible and Methicillin-resistant Staphylococcus aureus
QUT Capstone Project featuring a vanilla javascript project designed to display genome information from a PostgreSQL database in a user friendly way. Allows genomes to be tagged in groups and generates simple aggregate statistics.
A machine learning pipeline to classify bacterial species (Staphylococcus, Pseudomonas) from Surface-Enhanced Raman Spectroscopy (SERS) data using Python, Scikit-learn, and a Random Forest model.
Curated genomic database of Staphylococcus aureus virulence factors, including enterotoxins, adhesins, and immune evasion genes. These determinants enable host colonisation, immune evasion, and tissue damage, forming the basis of pathogenic potential.
A bioinformatics pipeline for RNA-Seq analysis of Staphylococcus aureus persisters under antibiotic stress, based on Peyrusson et al. (2020). Built with Nextflow and Docker for reproducibility.
Curated genomic database of Staphylococcus plasmids, mobile genetic elements that contribute to bacterial adaptation and pathogenicity through horizontal gene transfer. These elements may carry virulence factors, including enterotoxins, as well as antimicrobial resistance genes and other adaptive traits.
Curated genomic database of Staphylococcal Pathogenicity Islands (SaPIs), mobile genetic elements in Staphylococcus aureus that contribute to virulence through carriage of enterotoxin and other virulence-associated genes.
Curated genomic database of Staphylococcus aureus enterotoxin genes and variants, supporting detection of toxigenic potential in food safety and public health genomics.