simondrue/castle: Fortify your ddPCR analyses for low-frequency variant detection

This package is a user friendly implementation of the CASTLE (**C**oncentration and **A**ssay **S**pecific **T**umor **L**oad **E**stimator) algorithm, as it is described in accompanying scientific paper(https://doi.org/10.1093/clinchem/hvab274). Using the right analysis tool for your ddPCR analysis results when detecting low frequency variants can mean night and day for the performance of your pipeline. In this package functions for training a model and testing samples for low frequency variants are provided, as well as functionality to handle output .csv-files generated by QuantaSoft from Bio-Rad Laboratories Inc.

Getting started

Package details

AuthorSimon Opstrup Drue
Maintainer
LicenseGPL (>= 3)
Version0.1.4
URL https://doi.org/10.1093/clinchem/hvab274 https://github.com/simondrue/castle
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("simondrue/castle")
simondrue/castle documentation built on Jan. 29, 2022, 3:04 a.m.