Uniquorn

This is the development version of Uniquorn; for the stable release version, see Uniquorn.

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


Bioconductor version: Development (3.21)

'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")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews ExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome
Version 2.27.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 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
See More
Suggests testthat, knitr, rmarkdown, BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package Uniquorn_2.27.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/Uniquorn
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/
Package Downloads Report Download Stats