- Preprint: EISCA and EISTA: Full-Spectrum Pipelines for Single-Cell and Spatial Transcriptomics Analysisby greg.pye@earlham.ac.uk on September 30, 2026 at 12:00
Scientists at Earlham Institute, John Innes Centre, University of Freiburgh, and University Medical Center Rotterdam present EISCA and EISTA, two standardised, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial transcriptomics analysis.
- Accelerating UK biodiversity research with FAIR metadataby greg.pye@earlham.ac.uk on September 22, 2026 at 12:00
The University of Sheffield’s NERC Environmental Omics Facility (NEOF) and Data Science platforms at the Earlham Institute will serve as the backbone data infrastructure for the newly announced Advanced Research and Invention Agency (ARIA) Accelerated Adaptation programme.
- Major investment to unlock the potential of protist researchby greg.pye@earlham.ac.uk on September 14, 2026 at 12:00
A new collaboration will tackle major technical challenges currently limiting protist genomics, helping to unlock the potential of protist research for biomanufacturing, sustainable agriculture and environmental applications.
- Could AI improve the effectiveness of biodiversity initiatives?by greg.pye@earlham.ac.uk on August 12, 2026 at 12:00
Scientists at Earlham Institute investigating the genetic diversity of UK wildflower species have developed AI-driven techniques to improve the speed and effectiveness of seed classification.
- Dr Rahuman Sheriff joins Earlham Institute to drive forward AI models for digital twinsby greg.pye@earlham.ac.uk on August 4, 2026 at 12:00
The Earlham Institute is delighted to announce the appointment of Dr Rahuman Sheriff as a new Research Group Leader, developing AI modelling for digital twins.
- In memory of our friend and colleague Leah Catchpoleby greg.pye@earlham.ac.uk on July 17, 2026 at 12:00
We are deeply saddened to announce the death of Leah Catchpole, following a long illness.
- New Group Leader to develop AI models for understanding and engineering living systems.by greg.pye@earlham.ac.uk on July 14, 2026 at 12:00
Professor Ke Li will join the Earlham Institute in September as a new Research Group Leader in Artificial Intelligence (AI) for Biology.
- UK’s world-class research organisations launch new collective todayby greg.pye@earlham.ac.uk on July 9, 2026 at 12:00
The National Research Organisations (NRO) Group officially launches today (Thursday 9 July) at Royal Academy of Sciences, London. A first of its kind collective for the UK, the NRO brings together more than 100 leaders from government, research, academia, industry and funding organisations, marking a new chapter for the UK's research landscape.
- New multimillion pound collaboration to overcome challenges of data reuseby greg.pye@earlham.ac.uk on July 3, 2026 at 12:00
The discovery, sharing, and reuse of data and tools that underpin data-driven life sciences is set to be rolled out at a national scale thanks to a £4 million project led by The University of Manchester with partners at Earlham Institute and Seqera.
- Earlham Institute and Syngenta to partner on AI models for agri innovationby greg.pye@earlham.ac.uk on June 2, 2026 at 12:00
Earlham Institute and Syngenta launch a new Innovate UK-funded project applying AI models to identify novel herbicide targets and improve management of resistance in agricultural weeds.