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.
Materials for this course can be found here.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book by linking here.
Number of sessions: 1
|Wed 22 Jun||09:30 – 17:00||Bioinformatics Training Room, Craik-Marshall Building, Downing Site||Vladimir Kiselev , Martin Hemberg , Tallulah Andrews|
Format: Presentation and demonstrations
Frequency: A number of times per year
Aims: During this course you will learn about:
Objectives: After this course you should be able to:
Theme: Specialized Training