qRATqPCR relative expression analysis tool

qRAT is a R based standalone desktop application designed to provide a comprehensive, simple and easy to use tool for the relative quantification of real-time quantitative PCR data analysis. Functions are provided for users who have little statistical and no R programming background.

Logo QRAT
GitHub

Web application

qRAT is available as web application on ShinyApps.io:

Latest Release: 0.6.0


Local Installation (using R)

Run the app using R console and RStudio. Please follow the instructions on GitHub.

Download

qRAT standalone is currently not available as easy-install for Windows.

Citation

If you use qRAT for any published research, please include the following citation:

Flatschacher, D., Speckbacher, V. & Zeilinger, S. qRAT: an R-based stand-alone application for relative expression analysis of RT-qPCR data. BMC Bioinformatics 23, 286 (2022). https://doi.org/10.1186/s12859-022-04823-7

What's qRAT?

qRAT is a R based standalone desktop application to automate the processing of raw Quantification Cycle (Cq) data files exported from virtually any qPCR instrument using well established and state-of-the-art statistical and graphical techniques. The purpose of this tool is to provide a comprehensive, straightforward, and easy-to-use solution for the relative quantification of RT-qPCR data that requires no programming knowledge or additional software installation.

The current implementation allows ΔCq calculation (relative to endogenous control(s)), ΔΔCq calculation (relative to endogenous control(s) and a reference sample), inter-plate variation correction, and automated reference gene stability analysis. Moreover, functionalities for parsing, filtering and visualisation of relative RT-qPCR data are included. 

Getting Help

The User Guide gives a extensive documentation on data input, data analysis and graphical representation of the application. You can download the User Guide >right here< or access it directly from within the qRAT application.
Example datasets can be downloaded >here<

  The documentation, alongside the app, is under constant development. If you see any mistakes or typos, please let us know.

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