Cell Guide makes single-cell RNA-seq datasets explorable in the browser — no installation, no coding, and no waiting for a heavyweight app to load. Point it at a dataset and you can immediately scan the UMAP, color it by any gene or metadata field, and read off cluster-level statistics.
I built it because sharing single-cell results usually means either a static figure or a notebook that collaborators can’t easily run. Cell Guide turns a processed dataset into an interactive page that anyone with a link can use, which makes it a convenient companion to a paper or a quick way to look something up. Many research labs use it to share and explore their data.
Try it at https://cell.guide. You can:
- Display metadata on the UMAP figure
- Display gene expression on the UMAP figure
- Aggregate statistics for cell clusters and metadata categories
- Find any gene, instantly
- Browse statistics for every gene
I designed and built Cell Guide end to end — the data preprocessing, the interactive figures, and the interface. It’s open source (live star count below):
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