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Updated: Jan 27, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
RnBeads 2.0: comprehensive analysis of DNA methylation data
Fabian Müller1,2, Michael Scherer1,3, Yassen Assenov4
1Max Planck Institute for Informatics, Saarland Informatics Campus, 66123, Saarbrücken, Germany. team@rnbeads.org.
RnBeads 2.0 is an updated R/Bioconductor package for DNA methylation analysis. It offers enhanced workflows for microarrays and bisulfite sequencing, improving usability and computational efficiency for research.
Area of Science:
- Epigenetics and genomics
- Bioinformatics and computational biology
Background:
- DNA methylation is a critical epigenetic modification influencing development and disease.
- High-throughput technologies allow for large-scale DNA methylation analysis.
Purpose of the Study:
- To introduce RnBeads 2.0, a new version of an R/Bioconductor package for comprehensive DNA methylation analysis.
- To enhance the capabilities for analyzing Infinium microarrays and bisulfite sequencing data.
Main Methods:
- Development and implementation of RnBeads 2.0, an R/Bioconductor package.
- Integration of new data types and analysis methods for DNA methylation.
- Introduction of a graphical user interface for improved usability.
- Optimization of computational resource utilization.
Main Results:
- RnBeads 2.0 supports diverse data types and analysis workflows for DNA methylation.
- The new version includes enhanced interpretation tools for DNA methylation differences.
- Improved usability and computational efficiency are key features of RnBeads 2.0.
- Demonstrated utility in four re-runnable use cases involving cell differentiation and cancer.
Conclusions:
- RnBeads 2.0 provides a robust and user-friendly platform for genome-scale DNA methylation analysis.
- The updated software facilitates the interpretation of epigenetic data in biological contexts like development and disease.
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