- recipe bioconductor-sigspack
Mutational Signature Estimation for Single Samples
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/SigsPack.html
- License
GPL-3
- Recipe
Single sample estimation of exposure to mutational signatures. Exposures to known mutational signatures are estimated for single samples, based on quadratic programming algorithms. Bootstrapping the input mutational catalogues provides estimations on the stability of these exposures. The effect of the sequence composition of mutational context can be taken into account by normalising the catalogues.
- package bioconductor-sigspack¶
-
- Versions
1.8.0-0
,1.6.0-0
,1.4.0-1
,1.4.0-0
,1.2.0-0
,1.0.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biostrings
>=2.62.0,<2.63.0
bioconductor-bsgenome
>=1.62.0,<1.63.0
bioconductor-genomeinfodb
>=1.30.0,<1.31.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-rtracklayer
>=1.54.0,<1.55.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
bioconductor-variantannotation
>=1.40.0,<1.41.0
r-base
>=4.1,<4.2.0a0
r-quadprog
>=1.5-5
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-sigspack
and update with:
conda update bioconductor-sigspack
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-sigspack:<tag>
(see bioconductor-sigspack/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-sigspack/README.html)