- 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
1.26.0-0
,1.24.3-0
,1.22.6-0
,1.22.0-0
,1.20.2-0
,1.18.1-0
,1.16.7-0
,1.14.4-0
- Depends
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-clusterprofiler
>=4.2.0,<4.3.0
bioconductor-dapardata
>=1.24.0,<1.25.0
bioconductor-graph
>=1.72.0,<1.73.0
bioconductor-impute
>=1.68.0,<1.69.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-mfuzz
>=2.54.0,<2.55.0
bioconductor-msnbase
>=2.20.0,<2.21.0
bioconductor-pcamethods
>=1.86.0,<1.87.0
bioconductor-preprocesscore
>=1.56.0,<1.57.0
bioconductor-siggenes
>=1.68.0,<1.69.0
bioconductor-vsn
>=3.62.0,<3.63.0
r-base
>=4.1,<4.2.0a0
r-cp4p
>=0.3.5
r-imp4p
>=1.1
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-dapar/README.html)