https://github.com/choderalab/assaytools

Modeling and Bayesian analysis of fluorescence and absorbance assays.

https://github.com/choderalab/assaytools

Science Score: 10.0%

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Keywords

assay-modeling autoprotocol bayesian-analysis drug-discovery experimental-data-analysis fluorescence python
Last synced: 5 months ago · JSON representation

Repository

Modeling and Bayesian analysis of fluorescence and absorbance assays.

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  • Stars: 17
  • Watchers: 17
  • Forks: 11
  • Open Issues: 56
  • Releases: 0
Topics
assay-modeling autoprotocol bayesian-analysis drug-discovery experimental-data-analysis fluorescence python
Created about 11 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

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assaytools

Assay modeling and Bayesian analysis made easy.

AssayTools is a Python library that allows users to model automated assays and analyze assay data using powerful Bayesian techniques that allow complete characterization of the uncertainty in fit models.

See the online documentation.

See some examples of assaytools in action.

WARNING: This is a very early experimental pre-release. Assaytools is still under active experimental development. Use at your own risk!

Authors

  • John D. Chodera <john.chodera@choderalab.org>
  • Sonya M. Hanson <sonya.hanson@choderalab.org>
  • Mehtap Isik <mehtap.isik@choderalab.org>

Acknowledgments

  • Many thanks to the authors of the MDTraj project on which much of the modern project skeleton is based.

Owner

  • Name: Chodera lab // Memorial Sloan Kettering Cancer Center
  • Login: choderalab
  • Kind: organization
  • Email: john.chodera@choderalab.org
  • Location: Memorial Sloan-Kettering Cancer Center, Manhattan, NY

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Dependencies

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devtools/travis-ci/requirements-2.7.txt pypi
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devtools/travis-ci/requirements-3.3.txt pypi
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devtools/travis-ci/requirements-3.4.txt pypi
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devtools/travis-ci/requirements-conda-2.7.txt pypi
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devtools/travis-ci/requirements-conda-3.3.txt pypi
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docs/rtd_requirements.txt pypi
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setup.py pypi
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