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-0.1.11.tar.gz (85.3 kB view details)

Uploaded Source

Built Distribution

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

pykingenie-0.1.11-py3-none-any.whl (74.3 kB view details)

Uploaded Python 3

File details

Details for the file pykingenie-0.1.11.tar.gz.

File metadata

  • Download URL: pykingenie-0.1.11.tar.gz
  • Upload date:
  • Size: 85.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pykingenie-0.1.11.tar.gz
Algorithm Hash digest
SHA256 f65fa8d08d46f05573bd97536059b5b23c305fba3d533b2d6290a5c9ec2cf811
MD5 48a459a7d1c72f3b135a4d769cb02d7d
BLAKE2b-256 fff971276ad9bd19216305b3fde29314e81ea00163f7e0c7511bdff417854be6

See more details on using hashes here.

File details

Details for the file pykingenie-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: pykingenie-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 74.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pykingenie-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 95ca58cf4371d9dbc72302d7a1d34f780fd60b87b8563c3efeeb257947b5d6b6
MD5 ecbe8986ca94d25ffec96c700c1b17b8
BLAKE2b-256 5e97e9c536f64f8e73b84a6059e01074d5c9aae5243aef85a69dce80bf3f5d0c

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