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.