PoDCall
PoDCall automates calling and quantification of DNA methylation from droplet digital PCR (ddPCR) data as an R package for standardized epigenetic analysis.
Key Features:
- R package implementation: Implemented as an R package for computational processing of ddPCR methylation data.
- Automated Positive Droplet Calling: Automates identification of positive droplets from ddPCR to enable accurate quantification.
- Quantification and Normalization: Performs quantification of methylation levels and normalization across samples.
- Standardization and Reproducibility: Provides automated, standardized processing to improve reproducibility and comparability of ddPCR methylation results.
Scientific Applications:
- Epigenetic studies: Enables standardized quantification of DNA methylation patterns in epigenetics research.
- Cancer research: Supports detection and quantification of methylation biomarkers in cancer using ddPCR.
- Developmental biology: Facilitates assessment of methylation changes during development.
- Disease progression studies: Allows tracking of methylation alterations associated with disease progression.
Methodology:
Applies computational algorithms and robust statistical approaches for calling positive droplets and normalizing methylation levels from ddPCR data within an R package.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/31/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Jeanmougin M, Brodal HP, Dietrichson Pharo H, Vedeld HM, Lind GE. PoDCall: positive droplet calling and normalization of droplet digital PCR DNA methylation data. Bioinformatics. 2022;39(1). doi:10.1093/bioinformatics/btac766. PMID:36448696. PMCID:PMC9825742.
PMID: 36448696
PMCID: PMC9825742
Funding: - South-Eastern Norway Regional Health Authority: 2019030, 2019074