Single-cell analytics processing pipeline
Scellop (formerly CellPop) is an interactive visualization tool for exploring cell type compositions across biological samples. Traditional stacked bar charts struggle with scalability as the number of cell types and samples grows. Scellop addresses this by combining a flexible heatmap with extendable layered bar charts, enabling researchers to study cell populations across samples or conditions. The tool supports multiple visual encodings optimized for common analysis tasks including filtering, sorting by metadata, and exporting visualizations for publication.
Flexible heatmap visualization that scales with increasing numbers of cell types and samples, overcoming limitations of stacked bar charts.
Extendable layered bar charts that provide detailed population breakdowns without visual clutter.
Filter and sort samples by metadata to explore cell populations across different conditions or timepoints.
Switch between different visual representations optimized for specific analysis tasks and user needs.
I collaborated with Thomas C. Smits on the frontend development of Scellop. Starting from an initial prototype, I implemented the complete React frontend with the following features:
View the live demo or check out the source code on GitHub