Skip to main content

Python based toolkit for temporal molecular biology

Project description

Python based toolkit for temporal molecular biology analysis

Input data with columns denoting samples and rows denoting biological molecules. Input data is assessed for variance. Variant rows are modelled using 4 equations. The model with lowest residuals is reported, alongside model parameters and statistics.

https://github.com/Glycocalex/PyCycle

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pycyclebio-0.0.6-cp311-none-win_amd64.whl (219.0 kB view details)

Uploaded CPython 3.11Windows x86-64

File details

Details for the file pycyclebio-0.0.6-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycyclebio-0.0.6-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 219.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.4

File hashes

Hashes for pycyclebio-0.0.6-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 969b039abf2d200dd0c4b0ee99e3db5190d6e7824117b0e1f30ff6d36a1a95f3
MD5 cc2309238c51fcf686e00e8ffacede7e
BLAKE2b-256 79412b3897c260e6bbb8c5f63d7bca140388188cb9e5010bc182f3df21749be5

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