Skip to main content

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 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

omniplate-3.0.24.tar.gz (65.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

omniplate-3.0.24-py3-none-any.whl (78.5 kB view details)

Uploaded Python 3

File details

Details for the file omniplate-3.0.24.tar.gz.

File metadata

  • Download URL: omniplate-3.0.24.tar.gz
  • Upload date:
  • Size: 65.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.13.3 Darwin/25.2.0

File hashes

Hashes for omniplate-3.0.24.tar.gz
Algorithm Hash digest
SHA256 e0fec46432a54996978d9c4cba13d92f67e3f4defd61843f8ec0b8a8374cfad8
MD5 36ffa615d634fe411418aae9dadfd89b
BLAKE2b-256 0a384fa4fdbca096050358ec80ee959915a542c76fc6a44535fabdb5cd8701c2

See more details on using hashes here.

File details

Details for the file omniplate-3.0.24-py3-none-any.whl.

File metadata

  • Download URL: omniplate-3.0.24-py3-none-any.whl
  • Upload date:
  • Size: 78.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.13.3 Darwin/25.2.0

File hashes

Hashes for omniplate-3.0.24-py3-none-any.whl
Algorithm Hash digest
SHA256 c230a6d15934adea7cc8af140daaf3f52835f7ba0edf6f8078e627cd624cf9c7
MD5 2bc4c112a6d83175e22d3d72ad68bc17
BLAKE2b-256 55af3f50574358a077bfcea34f2ad83f0b05c40945a72e032ad49cd1ecf1baf2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page