The main focus of the module is for students to learn about different single-cell technologies, focusing on single-cell assays for gene expression, chromatin accessibility, genomics and spatial methods and how integration of different modalities can provide a more holistic view of cell and tissue phenotypes, cell-cell interactions and cell state dynamics. The module will introduce these technologies, their advantages and limitations, and will provide examples of how they can be applied in a real biological context. The module will have a specific focus on computational analysis and integration of real data produced by these technologies. Students will gain hands-on experience of analysing real-life patient and experimental data through use of high-performance computing. The students will acquire analytical skills that will improve their employability in research and industry.

Sorry, there are no lists here yet. You could try:

  • Clicking My Lists from the menu. Your course enrolled lists are stored here.
  • Searching for the list using the form below:

Lists linked to Single Cell Analytics (DL)

There are currently no lists linked to this Module.