DOI: 10.18129/B9.bioc.Uniquorn  

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

Bioconductor version: Release (3.17)

'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 hu-berlin.de>

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


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biocViews ExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome
Version 2.20.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports stringr, R.utils, WriteXLS, stats, doParallel, foreach, GenomicRanges, IRanges, VariantAnnotation, data.table
Suggests testthat, knitr, rmarkdown, BiocGenerics
Depends On Me
Imports Me
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Source Package Uniquorn_2.20.0.tar.gz
Windows Binary Uniquorn_2.20.0.zip
macOS Binary (x86_64) Uniquorn_2.20.0.tgz
macOS Binary (arm64) Uniquorn_2.20.0.tgz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Uniquorn
Bioc Package Browser https://code.bioconductor.org/browse/Uniquorn/
Package Short Url https://bioconductor.org/packages/Uniquorn/
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