Bioconductor-mirror/Uniquorn: Identification of cancer cell lines based on their weighted mutational or variational fingerprint
Version 1.4.2

Identifies cancer cell lines with their small variant fingerprint. Cancer cell line misidentification and cross-contamination reprents a significant challenge for cancer researchers. The identification is vital and in the frame of this package based on the locations or loci of somatic and germline mutations or variations. The input format is vcf and the files have to contain a single cancer cell line sample. The implemented method is optimized for the Next-generation whole exome and whole genome DNA-sequencing technology. RNA-seq data is very likely to work as well but hasn't been rigiously tested yet. Panel-seq will require manual adjustment of thresholds.

Getting started

Package details

AuthorRaik Otto
Bioconductor views ExomeSeq Software StatisticalMethod WholeGenome
Maintainer'Raik Otto' <[email protected]>
LicenseArtistic-2.0
Version1.4.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/Uniquorn")
Bioconductor-mirror/Uniquorn documentation built on June 23, 2017, 4:29 p.m.