recipe bioconductor-genetonic

Enjoy Analyzing And Integrating The Results From Differential Expression Analysis And Functional Enrichment Analysis

Homepage

https://bioconductor.org/packages/3.11/bioc/html/GeneTonic.html

License

MIT + file LICENSE

Recipe

/bioconductor-genetonic/meta.yaml

This package provides a Shiny application that aims to combine at different levels the existing pieces of the transcriptome data and results, in a way that makes it easier to generate insightful observations and hypothesis - combining the benefits of interactivity and reproducibility, e.g. by capturing the features and gene sets of interest highlighted during the live session, and creating an HTML report as an artifact where text, code, and output coexist.

package bioconductor-genetonic

Versions

1.0.0-0

Depends

• bioconductor-annotationdbi >=1.50.0,<1.51.0

• bioconductor-complexheatmap >=2.4.0,<2.5.0

• bioconductor-deseq2 >=1.28.0,<1.29.0

• bioconductor-go.db >=3.11.0,<3.12.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-base >=4.0,<4.1.0a0

• r-bs4dash

• r-dendextend

• r-dplyr

• r-dt

• r-dynamictreecut

• r-ggforce

• r-ggplot2

• r-ggrepel

• r-igraph

• r-matrixstats

• r-plotly

• r-rcolorbrewer

• r-rintrojs

• r-rlang

• r-rmarkdown

• r-scales

• r-shiny

• r-shinycssloaders

• r-shinywidgets

• r-tidyr

• r-viridis

• r-visnetwork

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-genetonic

and update with:

conda update bioconductor-genetonic

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-genetonic:<tag>

(see bioconductor-genetonic/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-genetonic/README.html)