Explore our single-cell data in your browser
Interactive browsers for the lab's single-cell atlases. Each one runs entirely in your browser, with no login, no install, and nothing sent to a server. Pick a gene and see where it is expressed.
Pediatric AML target discovery
Screen 1,704 surface proteins for marrow-sparing immunotherapy targets across 96,627 cells from 28 children. Set your own thresholds for efficacy, patient breadth and normal-marrow sparing and watch the candidate list narrow, then profile any target across the 49 leukemic states, normal tissue, and independent adult cohorts.
Data: single-cell RNA-seq of pediatric AML and healthy marrow, with bulk validation in TARGET and Beat AML.
Developing cerebellum atlas
The developing mouse cerebellum at single-cell resolution: 40,253 cells spanning thirteen timepoints from embryonic day 10 to postnatal day 10, across granule, Purkinje, GABAergic, glial and progenitor populations. Map any of 17,013 genes onto the atlas, follow expression across thirteen timepoints, and rank genes by how specific they are to one population.
Data: Carter RA et al., Current Biology 28, 2910-2920 (2018). Raw reads at ENA PRJEB23051.
Built to outlive their hosting
Both browsers are compiled to WebAssembly, so the analysis runs inside your browser rather than on a server we have to keep alive. That means they load from plain static files, cost nothing to run, and will keep working for as long as the page exists. The first visit downloads the R runtime and takes a few seconds; after that it is cached.
Every number shown comes from the published source data, which is bundled with each browser. Where a measurement was only made for a subset of genes, the browser says so rather than leaving a blank panel.