Skip to main content

UCSC Cellbrowser, an interactive browser for single cell data. Includes converters and basic pipelines for text files, Seurat, Scanpy and Cellranger.

Project description

The UCSC Cell Browser is an interactive browser for single cell data, like mRNA or ATAC-seq data. You can display dimensionality reductions, navigate them with the mouse or the cursor keys, select cells, color by genes or meta annotations and make many other changes. The main site runs at https://cells.ucsc.edu, but using this package you can also convert data yourself and build a Cell Browser HTML directory that can be served through any University or any other webserver for static webpages. You can try the Cell Browser at https://cells.ucsc.edu or read about how to convert data with this package on https://cellbrowser.rtfd.org.

We strongly recommend that to use Python3, but we make an effort to remain compatible with Python2.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cellbrowser-1.2.19.1.tar.gz (7.7 MB view details)

Uploaded Source

File details

Details for the file cellbrowser-1.2.19.1.tar.gz.

File metadata

  • Download URL: cellbrowser-1.2.19.1.tar.gz
  • Upload date:
  • Size: 7.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.17

File hashes

Hashes for cellbrowser-1.2.19.1.tar.gz
Algorithm Hash digest
SHA256 ba6868ed4c974e79eeabf389ecd966bfc815fb6f81018908503faf20f7aa02c7
MD5 7e3253c11ad505094e2952085e4bc786
BLAKE2b-256 a0dce43d902483ab4c90b67089d0d0e06f882b2bc3e348c26ddff8a5dc7b0d46

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page