Movatterモバイル変換


[0]ホーム

URL:


Bioconductor 3.22 Released

Bioconductor home
Menu

Uniquorn

This is thereleased version of Uniquorn; for the devel version, seeUniquorn.

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

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.Uniquorn


Bioconductor version: Release (3.22)

'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, entercitation("Uniquorn")):

Installation

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

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

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

Documentation

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

browseVignettes("Uniquorn")
Uniquorn vignetteHTML
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsExomeSeq,ImmunoOncology,Software,StatisticalMethod,WholeGenome
Version2.30.0
In Bioconductor sinceBioC 3.3 (R-3.3) (9.5 years)
LicenseArtistic-2.0
DependsR (>= 3.5)
Importsstringr,R.utils,WriteXLS, stats,doParallel,foreach,GenomicRanges,IRanges,VariantAnnotation,data.table
System Requirements
URL
See More
Suggeststestthat,knitr,rmarkdown,BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageUniquorn_2.30.0.tar.gz
Windows Binary (x86_64) Uniquorn_2.30.0.zip (64-bit only)
macOS Binary (x86_64)Uniquorn_2.30.0.tgz
macOS Binary (arm64)Uniquorn_2.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Uniquorn
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Uniquorn
Bioc Package Browserhttps://code.bioconductor.org/browse/Uniquorn/
Package Short Urlhttps://bioconductor.org/packages/Uniquorn/
Package Downloads ReportDownload Stats

[8]ページ先頭

©2009-2025 Movatter.jp