July 22-26, 2024

Theoretical-practical dry course

The increasing accessibility of single-cell RNA sequencing (scRNA-seq) platforms is creating a growing pressing need to train people capable to analyze the obtained results. The analysis of scRNA-seq data requires new analytical approaches, as assumptions from bulk RNA-seq experiments cannot be applied. This course will illustrate issues that can be addressed by scRNA- seq, and will discuss the most appropriate computational and statistical methods available for scRNA-seq data analysis.
In particular, the course aims to provide participants with the skills needed to:
i) understand the basic concepts of scRNA-seq data analysis;
ii) use scRNA-seq Seurat data workflow;
iii) process and analyze scRNA-seq data, including cell classification and identification of specific cell populations;
iv) measure the expression dynamics of genes at the single cell level;
v) perform gene set enrichment analysis and characterize cell-cell interactions;
vi) understand the importance of scRNA-seq data analysis in fueling discovery and innovation in medicine, biology and biotechnology fields.

Teaching methodology:
Lectures and seminars, dry lab (individual activities under the guidance of tutors, in an informatics room)

Number of participants: 30


Università degli Studi di Milano
Via Conservatorio 7
20122 Milano

Referents and contacts:

Prof. Domenico Mavilio – Prof.ssa Silvia Della Bella

Course Language:


Registration fee:

616,00 € VAT included

On request, travel and hotel reservation can be managed by Materia Prima. If interested, please refer to to receive a quotation.

Accessible from 19th March 2024 to 11th July