Description

Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.

In this course we will be surveying the existing problems as well as the available computational and statistical frameworks for the analysis of scRNA-seq data.

Prerequisites

• The course is intended for those who have basic familiarity with Unix and the R scripting language
• We will assume that you are familiar with mapping and analysing bulk RNA-seq data as well as with the commonly available computational tools.
• We suggest attending the Introduction to RNA-seq and ChIP-seq data analysis or the Analysis of RNA-seq data with Bioconductor before attending this course

For additional information, follow this link.