Software
Analysis code accompanying our papers, released so the results can be checked and reused. Everything below is on GitHub.
Repositories
A deep-learning spatial pipeline for bone-marrow multiplex immunofluorescence
imaging, which scores myelodysplastic syndrome disease state more accurately
than blast percentage.
Leukemia, 2026
Analysis code for the single-cell atlas of human pancreatic islet and acinar
endothelial cells in health and diabetes, including the islet-specific
endothelial cell (ISEC) characterisation.
Nature Communications, 2025 · Python
One of the first pipelines to recover paired full-length T-cell receptor alpha
and beta chain transcripts from single-cell RNA-seq data.
Genome Medicine, 2016
MDS-MAPS and scTCRseq are mirrored here from the repositories where they were originally developed. Please cite the accompanying paper rather than the repository.
Data
Sequencing data accompanying our publications are deposited in the Gene Expression Omnibus. The series below are grouped by paper. Where a study was deposited as several series, all of them are listed.
Some studies carry additional accessions deposited by collaborating groups, and a few deposits are not yet tied to a published paper. The full set is on GEO. If you cannot find the data for a published study, email us and we will point you to it.