Single cell analysis

This minicourse aims to provide knowledge and understanding of algorithms and advanced programming tools for managing single-cell data. Unlock the potential of single-cell data analysis as we answer pressing biological questions where cell-specific changes in the transcriptome are crucial. These questions include discovering new or rare cell types, identifying differential cell composition between healthy and diseased tissues, or understanding cell differentiation during development. Throughout this course, you'll explore a rich array of computational and statistical methods, all at your fingertips, ready to empower your data analysis. To make this experience even more exciting, we will apply your newfound knowledge to a real-world case study, bringing theory to life.

Schedule of the course: 6 hours per week.

- 10 and  17 October Room  1.02 from 10:30 to 13:30  

- 9 October   Room F Istituti biologici from 10:30 to 13:30

-16 October Room M from  8:30 to 11:30.