The Import Experiment Data in Assay tool takes in a Data Grid, usually created by parsing a Data File with the Parse Experiment Data Tool, and imports its content into a new or existing Assay. Here the data columns will need to be mapped to a TEST Data Types (metadata). At completion, the experimental data will be fully imported and ready for visualization in TEST or used by DISCOVER Machine Learning workflows.

You can access the tool from the BUILD module's Tool Library. Click on Launch Tool to start the process.

Once inside the Import Experiment Data into Assay tool click on Data Grid, this will open up the dialog box with your parsed data. Choose the one relevant to your experiment.

Once done select or create an experiment and an assay, you can also use the toggle switch button in the Selected Data grid section to show or hide the data-grids.

Once you've selected your experiment and assay, click on the Next button to start the subject link process. This links assay subjects to aliquots.

Data Mapping

The column names of your data have to be linked to a column type in the Teselagen platform in order for the platform and the machine to understand the column.

Inside the Data Mapping section, you will map each column with the appropriate TEST metadata class and subclass. You can also choose one of your own saved mappers or use TeselaGen's Smart Mapper suggestions.


You can either use one of your own saved mappers or use the smart-mapper feature to link and map your columns. Make sure to review the columns and their auto-proposed class and sub-classes are in accordance with your data type.

Once the mapping is done, click on validate and then submit to finish the process. If there is something wrong with the mapping, you'll see error messages to help you fix them.


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