Single cell sequencing

Unparalleled perspective on the biology of single cells


Standard RNA-seq measures average gene-expression levels, which is inadequate for heterogenous samples. Single cell sequencing does not require sorting your cells into small populations based on known markers. It allows you to administer any cell population – as a whole or pre-sorted – and create gene-expression profiles on each cell individually. Unsupervised clustering algorithms then visualize your cells in plots, placing cells with similar expression profiles together. You can discern between cell types and study the heterogeneity within those clusters.

Discuss your project with us

We only offer this service in customized setting. Talk with us about best practices and how we can help your research…

Contact Us

Let’s get the conversation started for your next NGS project.

Group 123 Service page   Single Cell RNA Sequencing
Please either fill in this form or email us directly at
and we will get in touch with you to discuss your requirements.