Skip to main content

No project description provided

Project description

Test and build codecov Docs

Welcome to pyKinGenie!, a python package for analysing binding kinetics data

This project is under development, and breaking changes may occur at any moment!

Features

  • Import Octet files (.frd)
  • Import Gator files (Assay_#_Channel#.csv, Setting.ini and ExperimentStep.ini)
  • Import custom CSV files
  • Process the traces (alignment, baseline correction)
  • Calculate binding kinetics (kon, koff, KD)
  • Global fitting of multiple traces
  • One-to-one, one-to-one with mass transport limitation, and one-to-one with induced fit models

Contributing

Contributions are welcome! Please contact me at oburastero@embl-hamburg.de

License

This project is licensed under the MIT License - see the LICENSE file for details.

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

pykingenie-0.1.14.tar.gz (93.5 kB view details)

Uploaded Source

Built Distribution

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

pykingenie-0.1.14-py3-none-any.whl (77.3 kB view details)

Uploaded Python 3

File details

Details for the file pykingenie-0.1.14.tar.gz.

File metadata

  • Download URL: pykingenie-0.1.14.tar.gz
  • Upload date:
  • Size: 93.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pykingenie-0.1.14.tar.gz
Algorithm Hash digest
SHA256 65eaf7e16216bc49990dfef99388b80cde5084c2eb0ffc5a7f21cac0776358e0
MD5 17e849df63362a166fad71f31a0258dc
BLAKE2b-256 fd76b2148be2a0529c3c980e3ae9199ece3cd68aab9c3e3e66eea7ab3fa91602

See more details on using hashes here.

File details

Details for the file pykingenie-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: pykingenie-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 77.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pykingenie-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 d7eb6e3f1297cc1a68dd762de569e26404410b42553f8e48dd0c9265f34a6cd5
MD5 6c4c45b7eb223e10ffc8097eceaa89cb
BLAKE2b-256 693b48c8c9601737048aea11e5b961bf51086fe4e9df39b60df7395feb4d0efb

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