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

Bioconductor version: Release (3.19)

'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).

Author: Raik Otto

Maintainer: 'Raik Otto' <raik.otto at>

Citation (from within R, enter citation("Uniquorn")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Uniquorn vignette HTML
Reference Manual PDF


biocViews ExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome
Version 2.24.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports stringr, R.utils, WriteXLS, stats, doParallel, foreach, GenomicRanges, IRanges, VariantAnnotation, data.table
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Suggests testthat, knitr, rmarkdown, BiocGenerics
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Follow Installation instructions to use this package in your R session.

Source Package Uniquorn_2.24.0.tar.gz
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macOS Binary (x86_64) Uniquorn_2.24.0.tgz
macOS Binary (arm64) Uniquorn_2.24.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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