ProntoPCR: Efficient qPCR Data Analysis Software
ProntoPCR: Efficient qPCR Data Analysis Software - Published in JOSS (2026)
Science Score: 87.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Repository
Repo for the ProntoPCR app
Basic Info
- Host: GitHub
- Owner: MarnieMaddock
- License: mit
- Language: R
- Default Branch: main
- Homepage: https://marniemaddock.github.io/ProntoPCR/
- Size: 185 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
ProntoPCR 
ProntoPCR is a user-friendly and efficient R Shiny application designed for real-time PCR (qPCR) or reverse transcriptase qPCR (RT-qPCR) data analysis. It automates calculations such as averaging housekeeper genes, Cq, Cq, 2^-Cq, 2^-Cq, making it easy to analyse gene expression data.
How It Works
- Upload Data: Import your qPCR data (Cq means, Target, Samples) in CSV format.
- Set Parameters: Select housekeeping genes and/or control groups + target genes.
- Analyse: ProntoPCR calculates key metrics automatically. Users can download results as a CSV file.
- Statistics: Select and perform desired statistics on calculated data. Users can download statistic results as a HTML file.
- Visualise: Customise and download publication-ready graphs directly from the app.
Availability
ProntoPCR has been designed to operate both online and locally. Whilst we aim to maintain online availability, the hosted platform may change or become unavailable. Therefore, it is recommended to rely on the local version, which functions with the same features as the online option. The local version also does not require internet access once installed. To run the application locally, the user needs to download R and RStudio.
Local Installation
For detailed installation instructions, especially for users unfamilar with the R coding language, refer to the ProntoPCR Handbook.
To use ProntoPCR, you can install it directly from GitHub within the R console:
```r
Install devtools package if not already installed
install.packages("devtools")
Load devtools library within R session
library(devtools)
Install ProntoPCR from GitHub
devtools::install_github("MarnieMaddock/ProntoPCR")
Run the application
library(ProntoPCR) ProntoPCR() ```
MacOS or Restricted-Network Users
For some macOS or restricted network users, the above installation instructions may fail. To fix this, you can force the curl download method by running the following code in your R console:
```r
Install devtools package if not already installed
install.packages("devtools")
Set download options
options(download.file.method = "curl")
Install ProntoPCR from GitHub
devtools::install_github("MarnieMaddock/ProntoPCR")
Run the application
library(ProntoPCR) ProntoPCR()
```
Online Access
Instuctions for Use
How to use instructions are available within the ProntoPCR Handbook.
Citation
If ProntoPCR is used for your analysis, please cite the journal article:
Feedback and Support
If you encounter any issues or have suggestions, feel free to:
- Open an issue on this repository
- Email Us
Contributions
We welcome contributions. If you'd like to contribute, please:
- Fork this repository.
- Create a new branch for your feature or bug fix.
- Submit a pull request with a detailed explanation of your changes.
License
ProntoPCR is licensed under the MIT License. See LICENSE for details.
Owner
- Login: MarnieMaddock
- Kind: user
- Repositories: 1
- Profile: https://github.com/MarnieMaddock
JOSS Publication
ProntoPCR: Efficient qPCR Data Analysis Software
Authors
Molecular Horizons, School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong NSW 2522, Australia
Tags
R Shiny qPCR Polymerase chain reactionGitHub Events
Total
- Member event: 1
- Push event: 110
Last Year
- Push event: 17