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.

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

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info@genomescan.nl

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Group 123 Service page   Single Cell RNA Sequencing
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