twoddpcr: an R/Bioconductor package and Shiny app for Droplet Digital PCR analysis

Anthony Chiu, Mahmood Ayub, Caroline Dive, Gerard Brady (Corresponding), Crispin Miller (Corresponding)

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: Droplet Digital PCR (ddPCR) is a sensitive platform used to quantify specific nucleic acid molecules amplified by polymerase chain reactions. Its sensitivity makes it particularly useful for the detection of rare mutant molecules, such as those present in a sample of circulating free tumour DNA obtained from cancer patients. ddPCR works by partitioning a sample into individual droplets for which the majority contain only zero or one target molecule. Each droplet then becomes a reaction chamber for PCR, which through the use of fluorochrome labelled probes allows the target molecules to be detected by measuring the fluorescence intensity of each droplet. The technology supports two channels, allowing, for example, mutant and wild type molecules to be detected simultaneously in the same sample. As yet, no open source software is available for the automatic gating of two channel ddPCR experiments in the case where the droplets can be grouped into four clusters. Here, we present an open source R package ‘twoddpcr’, which uses Poisson statistics to estimate the number of molecules in such two channel ddPCR data. Using the Shiny framework, an accompanying graphical user interface (GUI) is also included for the package, allowing users to adjust parameters and see the results in real-time.

Availability and implementation: twoddpcr is available from Bioconductor (3.5) at https://bioconductor.org/packages/twoddpcr/. A Shiny-based GUI suitable for non-R users is available as a standalone application from within the package and also as a web application at http://shiny.cruk.manchester.ac.uk/twoddpcr/.

Contact:[email protected] or [email protected]

Package maintainer:[email protected]
Original languageEnglish
Pages (from-to)2743-2745
JournalBioinformatics
Volume33
Issue number17
Early online date5 May 2017
DOIs
Publication statusPublished - 1 Sept 2017

Keywords

  • Droplet Digital PCR
  • Bioconductor
  • cancer
  • liquid biopsy
  • personalised medicine

Research Beacons, Institutes and Platforms

  • Manchester Cancer Research Centre

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