Research group

Papatheodorou Group

Data-intensive science for cellular genomics

Group activities.

The Papatheodorou Group leads a programme of data-intensive science for cellular genomics and FAIR data infrastructure.

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:

  • Compare cell atlases across different species, such as human, mouse, fruitfly to investigate within each tissue, which cell types are common or differ significantly between those three key species and as a result produce gene expression signatures per cell type.
  • Develop approaches for the inference of disease progression trajectories by combining molecular profiles of different modalities with clinical information.
  • Develop approaches to enable the identification of pathogenic cell types and pathways in different disease phenotypes, as well as potential therapeutic targets.

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.