Cirrocumulus

Dec 30, 2025·
Dr. Bo Li
Dr. Bo Li
,
Joshua Gould
· 1 min read

Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:

  • Visualize datasets in h5ad, 10x h5, Xenium, loom, Seurat, TileDB, or zarr formats
  • View MERFISH or other spatial transcriptomics data overlaid on an image
  • Easily deploy on a laptop, on-premise server, cloud VM, or Google App Engine
  • Share the current visualization state in a URL
  • Share datasets securely with collaborators
  • Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression
  • Generate composition plots to inspect cluster makeup
  • Explore complete differential expression results generated by Scanpy or Pegasus/Cumulus
  • Interactively create and share “AND” or “OR” filters
  • Collaboratively annotate cell types in real time, optionally using a controlled vocabulary (example ontology)
  • Quickly load multiple features from predefined lists (see example)
  • Explore multiple features and embeddings simultaneously
  • Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools
  • Save publication quality images
  • Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points
Dr. Bo Li
Authors
Principal Scientist II
Dr. Bo Li is a Principal Scientist at Genentech, Inc. His research focuses on large-scale single-cell genomics data analysis. Before joining in Genentech, he was an Assistant Professor of Medicine at Harvard Medical School and the director of Bioinformatics and Computational Biology at Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital. He received his Ph.D. in computer science from UW-Madison and completed two postdoctoral trainings with Dr. Lior Pachter at UC Berkeley and Dr. Aviv Regev at Broad Institute. He is best known for developing RSEM, an impactful RNA-seq transcript quantification software. RSEM is cited 22,602 times (Google Scholar) and adopted by several big consortia such as TCGA, ENCODE, GTEx and TOPMed.
Authors
Senior Research Software Engineer
Joshua Gould is a senior research software engineer in Li Lab.