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Plate with wells and droplets Save data
Note: Some settings have changed, please re-run the analysis for changes to take effect

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Below is a diagram of the plate, with white wells denoting wells that are available in the current dataset.
Double click any well to add it to the list above, or select multiple wells by clicking the mouse and dragging it across the plate.


Note: this action is not reversible

These are advanced options. Only use them if you know what you're doing.

An explanation of all the settings is available in the algorithm vignette


When you are finished with the settings, continue to Analyze

Analyze the droplets to classify each droplet into a group.
This may take several minutes depending on the number of wells.


          
The data has been analyzed, you can continue to Results

Download plate summary

Select multiple rows to see combined statistics




Turn on "Show droplets" in the General options to see more droplet options.


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Quick overview

This tools allows you to interactively explore, analyze, and visualize droplet digital PCR (ddPCR) data.

Select the Dataset tab to load ddPCR data.

Select the Settings tab to modify parameters of a ddPCR data after it has been loaded.

Select the Analyze tab to run automated analysis on the loaded ddPCR data.

Select the Results tab to visualize the results of the analysis using tables and figures.

At any point after initially loading a dataset, you may download the data in its current state ( Save data button) and load it again in the future.

Whenever a new dataset is loaded or the settings of an existing dataset are changed, you should re-analyze the data.

More information

This tool is part of a package developed in the R programming language. For more information, see the complete README.

A peer-reviewed publication describing this tool is available in F1000Research.

The methods were originally developed for a paper “Quantitative Detection and Resolution of BRAF V600 Status in Colorectal Cancer Using Droplet Digital PCR and a Novel Wild-Type Negative Assay” by Roza Bidshahri, Dean Attali, et al. The sample data is also from the same project.

License

This software was developed by Dean Attali and is available freely under the MIT license. The source code is available on GitHub.
For any comments or questions, please contact Dean.

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