Package: Uniquorn
Title: Identification of cancer cell lines based on their weighted
        mutational/ variational fingerprint
Version: 2.4.0
Authors@R: person("Raik", "Otto", email = "raik.otto@hu-berlin.de", role = c("aut", "cre"))
Description: This packages 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).
 The implemented method is optimized for the Next-generation whole exome and whole genome DNA-sequencing 
    technology. RNA-seq data is very likely to work as well but hasn't been rigiously tested yet. Panel-seq
    will require manual adjustment of thresholds
Imports: stringr, R.utils, WriteXLS, stats, doParallel, foreach,
        GenomicRanges, IRanges, VariantAnnotation
Depends: R (>= 3.5)
License: Artistic-2.0
LazyData: TRUE
Type: Package
Maintainer: 'Raik Otto' <raik.otto@hu-berlin.de>
Date: 2019-01-09
Author: Raik Otto
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-03 03:57:27 UTC; biocbuild
Suggests: testthat, knitr, rmarkdown, BiocGenerics, RUnit
biocViews: ImmunoOncology, StatisticalMethod, WholeGenome, ExomeSeq
VignetteBuilder: knitr
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/Uniquorn
git_branch: RELEASE_3_9
git_last_commit: 038db65
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
Built: R 3.6.0; ; 2019-05-03 14:37:09 UTC; windows
