1.00

This marks the first release of Cellar. Cellar is an interactive tool for analyzing single-cell omics data and it supports several data types including, but not limited to scRNA-seq, scATAC-seq, CODEX, SNARE-seq, sciRNA-seq, Visium. It supports preprocessing, dimensionality reduction, clustering, DE gene testing, enrichment analysis, cluster and gene visualization modules, projection to spatial tiles, label transfer, and semi-supervised clustering among others.

Cellar is entirely built in Python using the Dash framework. It relies on several open-source packages such as: scanpy, scikit-learn, anndata, pandas, numpy, leidenalg, and more.

Cellar can be used as a standalone app by pulling the docker image at euxhen/cellar or by using our demo web server (for a link see the main page). Full documentation can be found at https://euxhenh.github.io/cellar/