Single cell analysis

This mini-course will provide knowledge and understanding of advanced programming algorithms and tools for the management of single-cell datasets. Data at single-cell resolution allows us to answer new biological questions where cell-specific changes in the transcriptome are important, such as the discovery of new or rare cell types, identifying differential cell composition between healthy/diseased tissues, or understanding cell differentiation during development. In this course, we study state-of-art computational and statistical methods for the analysis of scRNA-Seq and we will apply the acquired knowledge to a real case study.

17 October 9:30-12:30 Auletta Atrio CV1 Borgo Roma - Ca' Vignal 1

18 October 8:30-11:30, Room: T.06, Borgo Roma - Ca' Vignal 3

24 October 9:30-12:30 Sala seminari secondo piano CV2 Borgo Roma - Ca' Vignal 2

25 October 8:30-11:30 Room: T.06, Borgo Roma - Ca' Vignal 3