Uniquorn
Identification of cancer cell lines based on their weighted mutational/ variational fingerprint
Bioconductor version: 3.24 · Package version: 2.33.0
'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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Uniquorn") Details
| Maintainer | Raik Otto <raik.otto@hu-berlin.de> |
| Author | Raik Otto |
| License | Artistic-2.0 |
| Downloads rank | 558 |
| Source branch | devel |
| biocViews | ExomeSeq, ImmunoOncology, Software, StatisticalMethod, WholeGenome |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Uniquorn_2.33.0.tar.gz |
| Windows binary (x86_64) | Uniquorn_2.33.0.zip |
| macOS binary (arm64) | Uniquorn_2.33.0.tgz |
| macOS binary (x86_64) | Uniquorn_2.33.0.tgz |
Dependencies
Depends: R (>= 3.5)
Imports: stringr, R.utils, WriteXLS, stats, doParallel, foreach, GenomicRanges, IRanges, VariantAnnotation, data.table
Suggests: testthat, knitr, rmarkdown, BiocGenerics