Analysis of single-cell RNA-seq data

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 available for the analysis of scRNA-seq.

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 recommend either attending the Introduction to R for Biologists and the Introduction to RNA-seq data analysis or working through the materials of Introduction to solving Biological problems with R before attending this course.
• The course will be mostly beneficial to those who have, or will shortly have, scRNA-seq data ready to analyse.

For additional information, follow this link.