- recipe bioconductor-pcaexplorer
Interactive Visualization of RNA-seq Data Using a Principal Components Approach
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/pcaExplorer.html
- License:
MIT + file LICENSE
- Recipe:
- Links:
biotools: pcaexplorer, doi: 10.18547/gcb.2017.vol3.iss1.e39
This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
- package bioconductor-pcaexplorer¶
-
- Versions:
2.20.0-0
,2.18.0-0
,2.16.0-1
,2.16.0-0
,2.14.0-0
,2.12.0-0
,2.10.0-1
,2.8.0-0
,2.6.0-0
,2.20.0-0
,2.18.0-0
,2.16.0-1
,2.16.0-0
,2.14.0-0
,2.12.0-0
,2.10.0-1
,2.8.0-0
,2.6.0-0
,2.4.0-0
,2.2.1-0
,2.0.0-0
- Depends:
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-biomart
>=2.50.0,<2.51.0
bioconductor-deseq2
>=1.34.0,<1.35.0
bioconductor-genefilter
>=1.76.0,<1.77.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-go.db
>=3.14.0,<3.15.0
bioconductor-gostats
>=2.60.0,<2.61.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
bioconductor-topgo
>=2.46.0,<2.47.0
r-base
>=4.1,<4.2.0a0
r-ggplot2
>=2.0.0
r-shiny
>=0.12.0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-pcaexplorer
and update with:
conda update bioconductor-pcaexplorer
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-pcaexplorer:<tag>
(see bioconductor-pcaexplorer/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-pcaexplorer/README.html)