Wellcome Sanger Institute
Cellular Genetics scRNA-seq analysis course
Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). In this course we discuss some of the questions that can be addressed using scRNA-seq as well as the available computational and statistical methods available.
The material found in the course is meant to be used for anyone interested in learning about computational analysis of scRNA-seq data. The number of computational tools is increasing rapidly and we are doing our best to keep up to date with what is available.
Links
Course official website: https://scrnaseq-course.cog.sanger.ac.uk/website/index.html
Course equivalent in Python: https://chanzuckerberg.github.io/scRNA-python-workshop/intro/about.html
Associated research
Sanger people
Previous Sanger people
Dr Vladimir Kiselev
Cellular Genetics Informatics Team Leader
Tallulah S. Andrews
Postdoctoral Fellow
Dr Martin Hemberg
Former CDF Group Leader
External partners and funders
Wellcome Sanger Institute