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:
- understand the basic concepts of scRNA-seq data analysis;
- use scRNA-seq Seurat data workflow;
- process and analyze scRNA-seq data, including cell classification and identification of specific cell populations;
- measure the expression dynamics of genes at the single cell level;
- perform gene set enrichment analysis and characterize cell-cell interactions;
- 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
Location: Università degli Studi di Milano, Via Santa Sofia 9, 20122 Milano
Referents and contacts: Prof. Domenico Mavilio – Prof.ssa Silvia Della Bella.
citometria.biometra@unimi.it
www.linkedin.com/in/flowcytometryacademy-unimi
Course Language: English
Admission application: Dates for applications and registrations will be announced on this llink: https://flowcytometryacademy.com/?p=746.
Registration fee: 616,00 € VAT included
On request, travel and hotel reservation can be managed by Materia Prima. If interested, please refer to segreteria@materia1a.it to receive a quotation.”
