recipe bioconductor-uniquorn

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

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/Uniquorn.html

License:

Artistic-2.0

Recipe:

/bioconductor-uniquorn/meta.yaml

Links:

biotools: uniquorn, doi: 10.18632/oncotarget.16110

'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).

package bioconductor-uniquorn

(downloads) docker_bioconductor-uniquorn

Versions:
2.18.0-02.14.0-02.12.0-02.10.0-12.10.0-02.8.0-02.6.0-02.4.0-12.2.0-0

2.18.0-02.14.0-02.12.0-02.10.0-12.10.0-02.8.0-02.6.0-02.4.0-12.2.0-02.0.0-01.6.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-uniquorn

and update with:

conda update bioconductor-uniquorn

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-uniquorn:<tag>

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

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