Data-intensive science for cellular genomics
The group hosts highly experienced data scientists and software developers to enable the development of software and metadata standards for openly and reproducibly sharing different types of omics data and images.
The team also develop end-to-end pipelines for the standardised analyses of single-cell and spatial transcriptomics datasets.
We work with the ELIXIR and Galaxy communities to develop flexible, standardised computational tools and workflows.
We develop computational approaches to:
To achieve those aims we collaborate extensively with groups working on the Human Cell Atlas, contributing to the Gut Cell Atlas, Crohn’s Disease Atlas with the University of Edinburgh, with groups at EMBL-EBI, as well as FlyBase at the University of Cambridge and Harvard Medical School.