Metadata-Version: 2.3
Name: omniplate
Version: 3.0.21
Summary: For analysing and meta-analysing plate-reader data
License: MIT
Keywords: omniplate,systems biology,bioinformatics,plate readers
Author: Peter Swain
Author-email: peter.swain@ed.ac.uk
Requires-Python: >=3.11,<3.12
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Dist: colorcet (>=3.1.0,<4.0.0)
Requires-Dist: gaussianprocessderivatives (>=0.1.67,<0.2.0)
Requires-Dist: matplotlib (>=3.10.6,<4.0.0)
Requires-Dist: numpy (>=2.3.3,<3.0.0)
Requires-Dist: nunchaku (>=0.16.0,<0.17.0)
Requires-Dist: openpyxl (>=3.1.5,<4.0.0)
Requires-Dist: pandas (>=2.3.3,<3.0.0)
Requires-Dist: scipy (>=1.16.2,<2.0.0)
Requires-Dist: seaborn (>=0.13.2,<0.14.0)
Requires-Dist: statsmodels (>=0.14.5,<0.15.0)
Requires-Dist: tqdm (>=4.67.1,<5.0.0)
Project-URL: Documentation, https://swainlab.bio.ed.ac.uk/software/omniplate
Project-URL: Homepage, https://swainlab.bio.ed.ac.uk/software/omniplate
Project-URL: Repository, https://git.ecdf.ed.ac.uk/pswain/omniplate
Description-Content-Type: text/markdown

# Omniplate
A Python package for analysing data from plate-reader studies of growing biological cells. Users can correct for autofluorescence, determine growth rates and the amount of fluorescence per cell, and simultaneously analyse multiple experiments.

## Documentation
A tutorial is [available](https://swainlab.bio.ed.ac.uk/software/omniplate/).

## Development history
+ `v3.0`: Consistent use of snake_case, but breaking backwards compatibility
+ `v3.0.2`: Only for python 3.11. Nunchaku updated.

## Citation
If you find the software useful, please consider citing:

Montaño-Gutierrez, L. F., Moreno, N. M., Farquhar, I. L., Huo, Y., Bandiera, L., & Swain, P. S. (2022). Analysing and meta-analysing time-series data of microbial growth and gene expression from plate readers. PLOS Computational Biology, 18(5), e1010138.

