ddPCRclust

ddPCRclust automates clustering-based analysis and visualization of multiplexed droplet digital PCR (ddPCR) data to quantify up to four DNA or RNA targets per reaction.


Key Features:

  • Implementation and compatibility: Implemented as an R package and accepts data from Bio-Rad QX100 and QX200 systems.
  • Automated analysis: Performs automated, clustering-based analysis of ddPCR experiments to reduce manual interpretation.
  • Multiplexing support: Handles non-orthogonal, multiplexed ddPCR data and quantifies up to four targets per reaction.
  • Visualization: Generates visualizations of clustering and quantification results for multiplexed experiments.

Scientific Applications:

  • High-throughput quantification: Enables high-throughput quantification of DNA and RNA targets from multiplexed ddPCR experiments.
  • Genomics: Supports quantitative assays for genomic studies requiring precise target copy-number estimation.
  • Transcriptomics: Supports quantification of RNA targets in transcriptomic analyses.
  • Molecular diagnostics: Supports molecular diagnostic applications that require sensitive and specific quantification of genetic targets.
  • Multiplex marker detection: Facilitates simultaneous detection and quantification of multiple genetic markers in a single reaction.

Methodology:

Automated analysis applies clustering algorithms to quantify and visualize results from multiplexed ddPCR experiments.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
library, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
7/1/2018
Last Updated:
11/25/2024

Operations

Publications

Brink BG, Meskas J, Brinkman RR. ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data. Bioinformatics. 2018;34(15):2687-2689. doi:10.1093/bioinformatics/bty136. PMID:29534153. PMCID:PMC6061851.

PMID: 29534153
PMCID: PMC6061851
Funding: - International DFG Research Training Group: GRK 1906/1

Documentation

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