Cellular Genomics scRNA-seq analysis course

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  We tackle some of the most difficult challenges in genomic research. This demands science at scale; a visionary and creative approach to research that pushes the boundaries of our understanding in ever new and exciting ways.
  Read more
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We tackle some of the most difficult challenges in genomic research. This demands science at scale; a visionary and creative approach to research that pushes the boundaries of our understanding in ever new and exciting ways.
About Us
We tackle some of the most difficult challenges in genomic research. This demands science at scale; a visionary and creative approach to research that pushes the boundaries of our understanding in ever new and exciting ways.
Read more
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“Learning new things takes time”: Omer Bayraktar on the beauty of neurobiology, changing fields and creativity in science
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18 Jul 2025

Ten mighty moths and beautiful butterflies around the Wellcome Genome Campus
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16 Jul 2025

Sanger Institute collaboration using quantum computing to tackle complex genomic challenges
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Wellcome Sanger Institute

Sanger Institute Science Collaboration

Cellular Genomics

Cellular Genomics 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

Previous Sanger people

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

External partners and funders

External

Bioinformatics Training @ University of Cambridge

External

Wellcome Trust Advanced Courses

Associated research

Collaborations

Collaboration

Cellular Genomics Software

Computational tools developed by the research groups and scientific teams of the Cellular Genomics Programme

Tools & software

Tool

Single-cell Consensus Clustering (SC3)

SC3 is a method for unsupervised clustering of single-cell RNA-seq data. In addition to a graphical user-interface, SC3 provides additional ...

Tool

scmap

A tool for unsupervised projection of single cell RNA-seq data.

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 ...

Wellcome Sanger Institute

Programmes and Facilities

Programme

Cellular Genomics

Cellular Genomics is a diverse and inclusive programme that aims to decode and recode the tissue ecosystems of the human body. ...