title: ddpcr: an R package and web application for analysis of droplet digital PCR data.
abstract: Droplet digital polymerase chain reaction (ddPCR) is a novel platform for exact quantification of DNA which holds great promise in clinical diagnostics. It is increasingly popular due to its digital nature, which provides more accurate quantification and higher sensitivity than traditional real-time PCR. However, clinical adoption has been slowed in part by the lack of software tools available for analyzing ddPCR data. Here, we presentddpcr- a new R package for ddPCR visualization and analysis. In addition,ddpcrincludes a web application (powered by the Shiny R package) that allows users to analyze ddPCR data using an interactive graphical interface.
authors.affiliation: Bioinformatics Training Program, University of British Columbia, Vancouver, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, Canada.
authors.forename: Dean
authors.initials: D
authors.lastname: Attali
authors.affiliation: Michael Smith Laboratories, University of British Columbia, Vancouver, Canada; Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
authors.forename: Roza
authors.initials: R
authors.lastname: Bidshahri
authors.affiliation: Michael Smith Laboratories, University of British Columbia, Vancouver, Canada; Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
authors.forename: Charles
authors.initials: C
authors.lastname: Haynes
authors.affiliation: Michael Smith Laboratories, University of British Columbia, Vancouver, Canada; Department of Statistics, University of British Columbia, Vancouver, Canada.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Bryan
keywords: Gaussian mixture models; bioinformatics; droplet digital PCR; gating; kernel density estimates; personalized medicine; rpackage; shiny