For analysing and meta-analysing plate-reader data
Project description
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.
Development history
v3.0: Consistent use of snake_case, but breaking backwards compatibilityv3.0.2: 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.
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