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Published March 3, 2022 | Version v1.0.1
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Scripts for data analysis of a High-Content Live-Cell Multiplex Screen for Chemogenomic Compound Annotation based on Nuclear Morphology

Authors/Creators

  • 1. Bayer AG; Institute for Globally Distributed Open Research and Education (IGDORE)

Contributors

Project member:

  • 1. Goethe-Universität Frankfurt am Main

Description

A suite of Python scripts to facilitate research data management for High-Content Screens, specifically for supporting EUbOPEN's multiplex assay, depositing in BioImage Archive.

As described in the publication (https://doi.org/10.1016/j.xpro.2022.101791), here you can find the Python scripts to download into the "root path" as well as the Excel template for documenting your data.

 

Instructions for use:

  • Download the file "Archive.zip" into your "root path", and unzip it there. 
  • To install the required Python packages, go back to the Anaconda Prompt, and type: 
    • pip install numpy pandas

Notes

The source code is here: https://github.com/rgiessmann/data-management-for-high-content-screening

Files

Archive.zip

Files (135.9 kB)

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md5:34b30ca66de5c9912a7cf14fc9fd88b3
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Additional details

Related works

Is referenced by
Journal article: 10.1016/j.xpro.2022.101791 (DOI)
Is supplemented by
https://github.com/rgiessmann/data-management-for-high-content-screening/ (URL)

Funding

European Commission
FAIRplus - FAIRplus 802750