ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data-Reference-Cited by-同舟云学术

ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data

Published:2018-03-09 Issue:15 Volume:34 Page:2687-2689
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Brink Benedikt G¹,Meskas Justin²,Brinkman Ryan R²³^ORCID

Affiliation:

1. International Research Training Group “Computational Methods for the Analysis of the Diversity and Dynamics of Genomes” and Biodata Mining Group, Faculty of Technology and Center for Biotechnology, Bielefeld University, Bielefeld, Germany

2. Terry Fox Laboratory, BC Cancer Agency, Vancouver, Canada

3. Department Medical Genetics, University of British Columbia, Vancouver, Canada

Funder

International DFG Research Training Group

NSERC

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/15/2687/25230832/bty136.pdf

Reference16 articles.

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2. twoddpcr: an R/Bioconductor package and Shiny app for Droplet Digital PCR analysis;Chiu;Bioinformatics,2017

3. Multiplex quantification of four DNA targets in one reaction with Bio-Rad droplet digital PCR system for GMO detection;Dobnik;Sci. Rep,2016

4. flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and density peak finding;Ge;Bioinformatics,2012

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