Metadata-Version: 1.0
Name: plateo
Version: 0.2.6
Summary: Read/write microplate and picklist data for lab automation
Home-page: UNKNOWN
Author: Zulko
Author-email: UNKNOWN
License: MIT
Description: Plateo
        ======
        
        Plateo (pronounced *Plato*, like the planet) is a Python library to assist in the
        planning, running and checking of laboratory experiments involving microplates.
        
        It can be used to:
        
        - 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.).
        
        
        Infos
        -----
        
        **PIP installation:**
        
        .. code:: bash
        
          pip install plateo
        
        **Web documentation:**
        
        `<https://edinburgh-genome-foundry.github.io/Plateo/>`_
        
        **Github Page:**
        
        `<https://github.com/Edinburgh-Genome-Foundry/Plateo>`_
        
        **Live demo:**
        
        `<https://cuba.genomefoundry.org/create_assembly_picklists>`_
        
        **License:** MIT, Copyright Edinburgh Genome Foundry
        
        
        More biology software
        ---------------------
        
        .. image:: https://raw.githubusercontent.com/Edinburgh-Genome-Foundry/Edinburgh-Genome-Foundry.github.io/master/static/imgs/logos/egf-codon-horizontal.png
          :target: https://edinburgh-genome-foundry.github.io/
        
        Plateo is part of the `EGF Codons <https://edinburgh-genome-foundry.github.io/>`_ synthetic biology software suite for DNA design, manufacturing and validation.
        
Keywords: microplate biology parser converter report
Platform: UNKNOWN
