Skip to main content

Analyze deep mutational scanning of barcoded variants.

Project description

https://img.shields.io/pypi/v/dms_variants.svg https://app.travis-ci.com/jbloomlab/dms_variants.svg https://mybinder.org/badge_logo.svg

Analyze deep mutational scanning of barcoded variants and fit global epistasis models.

dms_variants is a Python package written by the Bloom lab.

The source code is on GitHub.

See the dms_variants documentation for details on how to install and use dms_variants.

To contribute to this package, read the instructions in CONTRIBUTING.rst.

Project details


Download files

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

Source Distribution

dms_variants-1.4.3.tar.gz (7.8 MB view details)

Uploaded Source

File details

Details for the file dms_variants-1.4.3.tar.gz.

File metadata

  • Download URL: dms_variants-1.4.3.tar.gz
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for dms_variants-1.4.3.tar.gz
Algorithm Hash digest
SHA256 404e119da3591ae8fc9e496b5d3d05ab319ddbd1818de1759a3f967da6911107
MD5 05352b8313b1f5a78f0451dfdf212d81
BLAKE2b-256 6180cda588d962f19c9f26cbde00db16c32e689fdbf2aad32c9133caaf1053ea

See more details on using hashes here.

Supported by

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