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🤖 Python biolab automation library: parsers, report generators, picklist simulators, and more

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Plateo Logo

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Plateo is a Python library that assists in the planning of laboratory experiments involving microplates.

It can be used to:

  • Model laboratory microplates, well contents and liquid transfers.
  • Read and write robotic protocols (picklists) in different formats to accomodate different liquid dispensers (Tecan EVO, Labcyte Echo).
  • Simulate liquid dispensing runs, taking into account the capacity and dead volume of each container, to predict the maps of future plates.
  • Parse plate data from common laboratory robots (for kinetic experiments, fragment analysis, qPCR, etc.)
  • Export plate information in various formats (graphics, spreadsheets, HTML, JSON, etc.).
  • Create detailed report on various complex operations.

Install

Plateo can be installed from the Python Package Index:

pip install plateo

Code organization

  • Plateo is organised around various lab containers and liquid transfers between them.
  • The containers folder has the Well and WellContent classes, which model microplate wells and their contents. The Plate class models laboratory microplates. Built-in plates with predefined dimensions, capacity, dead volume, etc. are also stored in this folder.
  • The transfers folder contents simulate liquid transfers (Transfer) and lists of transfers (PickList).
  • The parsers folder contains all methods for generating Plates or Picklists from machine files and data.
  • The exporters folder contains all methods for exporting Plates or PickLists into human- or machine-readable formats.
  • The applications folder contains complex procedures with input/output operations; such as creating a DNA assembly picklist and related documentation.

Versioning

Plateo uses the semantic versioning scheme.

License = MIT

Plateo is free software, which means the users have the freedom to run, copy, distribute, study, change and improve the software.

Plateo was originally written by Zulko at the Edinburgh Genome Foundry and is currently being developed by Peter Vegh. It is released under the MIT license (Copyright 2017 Edinburgh Genome Foundry, University of Edinburgh).