Uniquorn

This is the released version of Uniquorn; for the devel version, see Uniquorn.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

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

Bioconductor version: Release (3.23)

'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")):

Raik Otto. Uniquorn: Identification of cancer cell lines based on their weighted mutational/ variational fingerprint. doi:10.18129/B9.bioc.Uniquorn, R package version 2.32.0, https://bioconductor.org/packages/Uniquorn.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("Uniquorn")

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

Documentation

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

browseVignettes("Uniquorn")

Uniquorn vignette	HTML
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome
Version	2.32.0
In Bioconductor since	BioC 3.3 (R-3.3) (10.5 years)
License	Artistic-2.0
Depends	R (>= 3.5)
Imports	stringr, R.utils, WriteXLS, stats, doParallel, foreach, GenomicRanges, IRanges, VariantAnnotation, data.table
System Requirements
URL

Suggests	testthat, knitr, rmarkdown, BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
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Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	Uniquorn_2.32.0.tar.gz
Windows Binary (x86_64)	Uniquorn_2.32.0.zip
macOS Binary (big-sur-x86_64)	Uniquorn_2.32.0.tgz
macOS Binary (sonoma-arm64)	Uniquorn_2.32.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/Uniquorn
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/Uniquorn
Package Short Url	https://bioconductor.org/packages/Uniquorn/
Package Downloads Report	Download Stats