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.
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
Referents and contacts:
Dates for application and registration will be announced soon.
616,00 € VAT included
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