Version 1.1 2021-03-02 This workflow reads a table of raw data arranged in a conventional microplate format (96-well, 384-well and 1536-well) and assigns the well position to the corresponding raw data. This workflow takes advantage of the integration of R into KNIME. In the R node (R Snippet), the raw data table is converted into a table of raw data with two corresponding numerical values, which are the row and column values. These row and column values can be converted back to well position using the Create Well Position, a node from the KNIME HCS Tools. Since the code takes into account the number of rows in the original data table, the same code can be applied irrespective of the original plate format (96-well, 384-well, 1536-well or other non-conventional format). As such, this code can be very versatile in the workflow and will dynamically respond to different plate format inputs. Users will need to create a preparatory workflow to produce the data table required for this workflow - this may include a reader node (csv or Excel) to read the original file, and subsequent manipulation and processing nodes to prepare the data to its intended format. In addition, this workflow can be integrated into a loop for reading more than one plates. As always, it is hoped that this workflow can be useful for those who require a dynamic approach to reading various plate formats, especially in high-throughput screening campaigns. Any questions and/or feedback will be much appreciated!
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.1
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