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

Documentation