What’s in a Cell? Discovering Disease Mechanisms with Single-cell Transcriptomics

Single-cell genomics is revolutionizing computational biology and drug development by providing detailed insights into cellular functions. Increasingly large mountains of transcriptomic data have been generated over the past few years, and its secrets are waiting to be unlocked!

In this Build Project, you'll assume the role of a Computational Biologist, analyzing single-cell transcriptomics data to identify novel disease mechanisms. Under the guidance of an industry expert, you will retrieve, clean, and process omics data, apply machine learning models for data analysis, and produce scientific figures. You will gain hands-on experience with tools and methodologies commonly used in the field, all within a simulated professional environment.