Core capability across ThDEFINE, HUGODECA, CAtS, OrganoidAlign, GReCS, PERSIST-SEQ, discovAIR, and HUTER — spanning method development, atlas building, and disease applications.
GENOME RESEARCH LIMITED LBG
World-leading genomics institute providing industrial-scale sequencing, single-cell transcriptomics, and computational biology for human disease research across Europe.
Their core work
Genome Research Limited operates the Wellcome Sanger Institute, one of the world's premier genomics research centres, based near Cambridge, UK. Their core work spans large-scale genome sequencing, single-cell transcriptomics, and computational genomics applied to human disease — particularly cancer, infectious disease, and developmental biology. In H2020 projects they contribute deep sequencing capabilities, bioinformatics pipelines, and single-cell data analysis expertise to international consortia studying everything from hematological cancers to malaria vaccines and human cell atlases. They also run public engagement programmes connecting communities with genomics and life science research.
What they specialise in
Led ThDEFINE (largest single grant, EUR 1.78M) redefining CD4+ T cell identities; participated in ENLIGHT-TEN, ENLIGHT-TENplus, and contributed to vaccine development projects.
Coordinated CAtS on childhood sarcoma single-cell sequencing; participated in HARMONY and HARMONY PLUS on blood cancers and PERSIST-SEQ on tumour resistance.
Contributed genomics expertise to OptiMalVax and MultiViVax (malaria), COMPARE (foodborne outbreaks), and EAVI2020 (AIDS vaccine).
Recent projects OrganoidAlign, GReCS, and CAtS explicitly combine machine learning with single-cell data integration and gene regulatory network inference.
ZENCODE-ITN (zebrafish developmental epigenomics), StemBAT (brown fat differentiation), HUGODECA (gonad atlas), HUTER (uterus atlas), and discovAIR (lung atlas).
How they've shifted over time
In 2014–2018 the Sanger Institute's H2020 work centred on fundamental genomics: developmental epigenomics in zebrafish (ZENCODE-ITN), synthetic biology and gene regulation (MRG-GRammar), and building mouse disease model infrastructure (INFRAFRONTIER2020, IPAD-MD). From 2019 onward the focus shifted decisively toward single-cell genomics at scale — building human cell atlases (discovAIR, HUTER, HUGODECA), applying machine learning to multi-modal single-cell data (OrganoidAlign, GReCS), and translating these methods into cancer and clinical contexts (CAtS, PERSIST-SEQ, HARMONY PLUS). The trajectory is clear: from bulk sequencing and model organism work toward computational single-cell biology with direct clinical relevance.
The Sanger Institute is doubling down on machine learning-driven single-cell multi-omics, positioning itself as a go-to partner for any consortium needing large-scale human cell atlas construction or computational integration of single-cell datasets for disease research.
How they like to work
Predominantly a participant (19 of 27 projects) rather than a coordinator, which reflects their role as a specialist contributor bringing sequencing and computational capacity to large international efforts. However, they do coordinate focused MSCA fellowships and smaller grants (7 as coordinator), typically hosting individual researchers on targeted genomics questions. With 238 unique partners across 30 countries, they operate as a high-connectivity hub — not locked into repeat partnerships but rather plugging into diverse consortia wherever deep genomics expertise is needed.
Exceptionally broad network of 238 distinct partners spanning 30 countries, reflecting the Sanger Institute's position as a global genomics hub that draws collaborators from across Europe and beyond. Geographic reach is truly pan-European with no strong regional bias.
What sets them apart
The Sanger Institute brings an unmatched combination of industrial-scale sequencing infrastructure and world-class computational biology under one roof — few European partners can match both the data generation throughput and the analytical depth. Their shift toward single-cell multi-omics and machine learning means they are not just a sequencing service but an active methods developer, contributing new computational tools alongside raw data. For consortium builders, partnering with Sanger signals credibility and ensures access to one of the largest genomics datasets and bioinformatics teams in Europe.
Highlights from their portfolio
- ThDEFINELargest single grant (EUR 1.78M) and coordinated by Sanger — an ERC Synergy-level project redefining T cell identities using single-cell genomics, showcasing their leadership in the field.
- StemBATLargest participation grant (EUR 1.64M) on human stem cell-derived brown fat, combining developmental biology with obesity research in an unusual cross-disciplinary approach.
- OrganoidAlignCoordinated MSCA fellowship applying machine learning to organoid single-cell data — represents their emerging direction of computational methods development for tissue modelling.