- 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:
- 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¶
-
- Versions:
2.18.0-0
,2.14.0-0
,2.12.0-0
,2.10.0-1
,2.10.0-0
,2.8.0-0
,2.6.0-0
,2.4.0-1
,2.2.0-0
,2.18.0-0
,2.14.0-0
,2.12.0-0
,2.10.0-1
,2.10.0-0
,2.8.0-0
,2.6.0-0
,2.4.0-1
,2.2.0-0
,2.0.0-0
,1.6.0-0
- Depends:
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-variantannotation
>=1.44.0,<1.45.0
r-base
>=4.2,<4.3.0a0
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-uniquorn/README.html)