Related Experiment Video
Updated: Feb 22, 2026

07:06
Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR
Published on: February 6, 2026
506
Enabling reproducible real-time quantitative PCR research: the RDML package.
Stefan Rödiger1, Michal Burdukiewicz2, Andrej-Nikolai Spiess3
1Institute of Biotechnology, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany.
Bioinformatics (Oxford, England)
|September 30, 2017
Summary
The open-source RDML R package facilitates handling of real-time PCR data markup language (RDML) files, enhancing reproducibility in quantitative PCR experiments. It enables data import, transformation, and file creation, with an added graphical interface for easier management.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Biology
Background:
- Reproducibility in research necessitates standardized experimental data formats.
- The real-time PCR data markup language (RDML) is a recommended standard for quantitative real-time PCR (qPCR) experiments.
- Current qPCR analysis software has limited support for handling RDML files.
Purpose of the Study:
- To introduce an open-source R package for managing RDML files.
- To improve the accessibility and usability of RDML data in qPCR analysis.
- To support the standardization and reproducibility of qPCR experiments.
Main Methods:
- Development of an R package named RDML.
- Implementation of functionalities for importing and exporting RDML data.
- Inclusion of data transformation capabilities and a graphical user interface (GUI).
Main Results:
- The RDML R package supports RDML versions up to 1.2.
- Functionalities include data import, sample information extraction, data transformation, and summary generation.
- A GUI is provided for user-friendly reading, editing, and creation of RDML files.
Conclusions:
- The RDML R package offers a comprehensive solution for handling RDML files.
- This tool enhances the reproducibility of quantitative real-time PCR experiments.
- The package promotes wider adoption and utilization of the RDML standard in research.

