Polytect: an automatic clustering and labeling method for multicolor digital PCR data

Polytect Builds on existing clustering methods, refining results by merging and labeling clusters based on prior knowledge of cluster center locations.
Polytect outperforms other methods in both empirical and simulated data, effectively merging excess clusters and identifying empty clusters.
The method is available as an R package and a Shiny app for easy use.

Read more
...

Featured Publications

...
Digital PCR threshold robustness analysis and optimization using dipcensR

DipcensR provides automates the assessment of partition classification robustness, reducing the need for extensive manual review.

...
Review - Digital PCR Partition Classification

Summary of all available digital PCR partition classification approaches and the challenges

...
The Digital MIQE Guidelines Update

Minimum Information for Publication of Quantitative Digital PCR Experiments for 2020

...
Partition classification: ddpcRquant

Threshold determination for single channel droplet digital PCR experiments.

...
Flexible data-analysis using GLMM

Flexible analysis of digital PCR experiments using generalised linear mixed models.

Key Publications from DIGPCR

2018, Analytical and Bioanalytical Chemistry
On determining the power of digital PCR experiments
2017, Analytical and Bioanalytical Chemistry
Quality control of digital PCR assays and platforms