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.v3.1.0: Errors come from resampling the wells rather than from a Gaussian process's own posterior. Each bootstrap draws its wells once and follows them through time; withkeep_bootsthe bootstraps are available throughomboots. Every_errcolumn is one standard deviation.correct_autoandget_statseach generate a report naming any fits needing attention.
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.
1 maintainer
Metadata
1 maintainer
Release files for omniplate 3.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| omniplate-3.1.0.tar.gz | 106.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| omniplate-3.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 227.7 kB
Release files / omniplate-3.1.0.tar.gz
| Download URL | omniplate-3.1.0.tar.gz |
|---|---|
| Size | 106.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / omniplate-3.1.0-py3-none-any.whl
| Download URL | omniplate-3.1.0-py3-none-any.whl |
|---|---|
| Size | 120.9 kB |
| Tags | Python 3 |
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