Selected article for: "Data analysis and open source"

Author: Delorme, Vincent; Woo, Minjeong; Falcão, Virginia Carla de Almeida; Wood, Connor
Title: PlateEditor: A web-based application for the management of multi-well plate layouts and associated data.
  • Cord-id: wtergcm2
  • Document date: 2021_1_1
  • ID: wtergcm2
    Snippet: Multi-well plates are convenient tools to work with in biology experiments, as they allow the probing of multiple conditions in a compact and economic way. Although both free and commercial software exist for the definition of plate layout and management of plate data, we were looking for a more flexible solution, available anywhere, free from download, installation and licensing constraints. In this context, we created PlateEditor, a free web-based, client-side application allowing rapid creati
    Document: Multi-well plates are convenient tools to work with in biology experiments, as they allow the probing of multiple conditions in a compact and economic way. Although both free and commercial software exist for the definition of plate layout and management of plate data, we were looking for a more flexible solution, available anywhere, free from download, installation and licensing constraints. In this context, we created PlateEditor, a free web-based, client-side application allowing rapid creation of even complex layouts, including dose-response curves and multiple combination experiments for any plate format up to 1536 wells. PlateEditor also provides heatmap visualization and aggregation features to speed-up the process of data analysis and formatting for export in other application. Written in pure JavaScript, it is fully open-source, can be integrated in various workflows and has the potential to be extended with more functionalities in the future.

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