Wellcome Sanger Institute
Sanger Institute Science Collaboration
Research Project
Cellular Genetics

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

Sanger people

Original Developers

Photo of Dr Vladimir Kiselev

Dr Vladimir Kiselev

Cellular Genetics Informatics Team Leader

Photo of Tallulah S. Andrews

Tallulah S. Andrews

Postdoctoral Fellow

Photo of Dr Martin Hemberg

Dr Martin Hemberg

Former CDF Group Leader

External Contributors

Photo of Davis McCarthy

Davis McCarthy

Head, Bioinformatics & Cellular Genomics Laboratory @ St Vincent's Institute, Melbourne, Australia

Photo of Jennifer Westoby

Jennifer Westoby

Bioinformatics Pipeline Developer @ Inivata

Photo of Sidney Bell

Sidney Bell

Computational Biology team @ Chan Zuckerberg Initiative

Related groups

 

Science group

Hemberg Group

Quantitative models of gene expression

The Hemberg group is interested in developing quantitative models of gene expression. Our approach is theoretical and we strive to develop ...

External partners and funders

External

Bioinformatics Training @ University of Cambridge

External

Wellcome Trust Advanced Courses

 
Wellcome Sanger Institute

Programmes and Facilities

 

Programme

Cellular Genetics

We are focused on using single-cell approaches: cell atlas technologies and understanding human genetics at the cellular level. The team combines ...