recipe bioconductor-uniquorn

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







biotools: uniquorn, doi: 10.18632/oncotarget.16110

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

package bioconductor-uniquorn

(downloads) docker_bioconductor-uniquorn


2.6.0-0, 2.4.0-1, 2.2.0-0, 2.0.0-0, 1.6.0-0

Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-uniquorn

and update with:

conda update bioconductor-uniquorn

or use the docker container:

docker pull<tag>

(see bioconductor-uniquorn/tags for valid values for <tag>)