inst/shiny/text/about.md
In daattali/ddpcr: Analysis and Visualization of Droplet Digital PCR in R and on the Web
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.
daattali/ddpcr documentation built on March 27, 2024, 6:50 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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