RaikOtto/Younikorn: Identification of cancer cell lines based on their weighted mutational/ variational fingerprint

'Uniquorn' 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).

Getting started

Package details

AuthorRaik Otto
Bioconductor views ExomeSeq ImmunoOncology StatisticalMethod WholeGenome
Maintainer'Raik Otto' <raik.otto@hu-berlin.de>
LicenseArtistic-2.0
Version2.17.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("RaikOtto/Younikorn")
RaikOtto/Younikorn documentation built on Oct. 18, 2022, 1:21 a.m.