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Uniquorn

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

Bioconductor version: 3.23 · Package version: 2.32.0

'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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Uniquorn")

Details

MaintainerRaik Otto <raik.otto@hu-berlin.de>
AuthorRaik Otto
LicenseArtistic-2.0
Downloads rank558
Source branchRELEASE_3_23
biocViewsExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageUniquorn_2.32.0.tar.gz
Windows binary (x86_64)Uniquorn_2.32.0.zip
macOS binary (arm64)Uniquorn_2.32.0.tgz
macOS binary (x86_64)Uniquorn_2.32.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: stringr, R.utils, WriteXLS, stats, doParallel, foreach, GenomicRanges, IRanges, VariantAnnotation, data.table

Suggests: testthat, knitr, rmarkdown, BiocGenerics