Abstract
SUMMARY: Cell population plots are visualizations showing cell population distributions in biological samples with single-cell data, traditionally shown with stacked bar charts. Here, we address issues with this approach, particularly its limited scalability with increasing number of cell types and samples, and present scellop, a novel interactive cell population viewer combining visual encodings optimized for common user tasks in studying populations of cells across samples or conditions. AVAILABILITY AND IMPLEMENTATION: scellop is available under the MIT licence at https://github.com/hms-dbmi/scellop, and is available on PyPI (https://pypi.org/project/scellop/) and NPM (https://www.npmjs.com/package/scellop). A demo is available at https://scellop.netlify.app/.