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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.

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.

Development history

  • v3.1.1: Retry a GP fit that does not follow its data; report resolved, covered, retried, and retry_kept for every fit; inspect_report draws the fits a report flags, worst first.
  • 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; with keep_boots the bootstraps are available through omboots. Every _err column is one standard deviation. correct_auto and get_stats each generate a report naming any fits needing attention.
  • v3.0.2: Only for python 3.11. Nunchaku updated.
  • v3.0: Consistent use of snake_case, but breaking backwards compatibility

Metadata

Release files for omniplate 3.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for omniplate 3.1.1
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omniplate-3.1.1.tar.gz 124.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for omniplate 3.1.1
File Interpreter ABI Platform
omniplate-3.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 263.3 kB

Release files / omniplate-3.1.1.tar.gz

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3.1.1 This release

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