Single-cell RNA-seq analysis with Python

Analyse droplet-based single-cell RNA-seq data using Python and command-line tools, moving from raw reads through quality control, normalisation, integration and clustering to interpretation. The course covers experimental design, differential expression and abundance, Single Cell Expression Atlas and standards for repository submission. Lectures, computational exercises and a mentored group challenge use virtual machines, Zoom and Slack. Basic Unix/Linux and Python skills are required. Participants should be available 09:00–17:30 UK time each day. There are 35 selected places, at £250 for academia or £350 for industry. Applications close at 23:59 UK time on 10 January 2027; decisions follow by 22 January.