Single-cell multi-omics

A five-day practical course for experimentalists and computational biologists analysing single-cell RNA sequencing. Lectures and exercises follow data from sequencing files to expression matrices, quality control, normalisation, batch correction, dimensionality reduction, clustering, annotation and differential expression. Later sessions cover trajectory and pseudotime inference, RNA velocity, single-cell multi-omics integration and functional analysis. Participants finish with an independent dataset analysis and presentation. Bash and R/Bioconductor support reproducible workflows and interpre

…and multiplexed CRISPR screening with single-cell multi-omics and AI modelling to build cell-type-specific disease models for therapeutic discovery in oncology, neurodevelopmental and neurodegenerative disorders and metabolic disease. The postdoc will engineer, differentiate and functionally characterise human iPSCs, design and run