-
recipe
bioconductor-dapar
Tools for the Differential Analysis of Proteins Abundance with R
- Homepage
- License
Artistic-2.0
- Recipe
This package contains a collection of functions for the visualisation and the statistical analysis of proteomic data.
-
package
bioconductor-dapar
¶ -
- Versions
1.22.0-0
,1.20.2-0
,1.18.1-0
,1.16.7-0
,1.14.4-0
- Depends
bioconductor-annotationdbi
>=1.52.0,<1.53.0
bioconductor-biobase
>=2.50.0,<2.51.0
bioconductor-clusterprofiler
>=3.18.0,<3.19.0
bioconductor-dapardata
>=1.20.0,<1.21.0
bioconductor-graph
>=1.68.0,<1.69.0
bioconductor-impute
>=1.64.0,<1.65.0
bioconductor-limma
>=3.46.0,<3.47.0
bioconductor-mfuzz
>=2.50.0,<2.51.0
bioconductor-msnbase
>=2.16.0,<2.17.0
bioconductor-pcamethods
>=1.82.0,<1.83.0
bioconductor-preprocesscore
>=1.52.0,<1.53.0
bioconductor-siggenes
>=1.64.0,<1.65.0
bioconductor-vsn
>=3.58.0,<3.59.0
r-base
>=4.0,<4.1.0a0
r-cp4p
>=0.3.5
r-imp4p
>=0.8
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-dapar
and update with:
conda update bioconductor-dapar
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-dapar:<tag>
(see bioconductor-dapar/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-dapar/README.html)