Uniquorn: Identification of cancer cell lines based on their weighted mutational/ variational fingerprint
Version 2.0.0

This packages enables users to identify cancer cell lines. 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/ loci of somatic and germline mutations/ variations. The input format is vcf/ vcf.gz and the files have to contain a single cancer cell line sample (i.e. a single member/genotype/gt column in the vcf file). 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

Package details

AuthorRaik Otto
Bioconductor views ExomeSeq Software StatisticalMethod WholeGenome
Maintainer'Raik Otto' <[email protected]>
LicenseArtistic-2.0
Version2.0.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("Uniquorn")

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Uniquorn documentation built on May 2, 2018, 4:20 a.m.