recipe bioconductor-timeseriesexperiment

Visualization and analysis toolbox for short time course data which includes dimensionality reduction, clustering, two-sample differential expression testing and gene ranking techniques. The package also provides methods for retrieving enriched pathways.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/TimeSeriesExperiment.html

License

LGPL (>= 3)

Recipe

/bioconductor-timeseriesexperiment/meta.yaml

package bioconductor-timeseriesexperiment

(downloads) docker_bioconductor-timeseriesexperiment

Versions

1.0.2-0

Depends bioconductor-deseq2

>=1.22.0,<1.23.0

Depends bioconductor-edger

>=3.24.0,<3.25.0

Depends bioconductor-limma

>=3.38.0,<3.39.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-dplyr

Depends r-dynamictreecut

Depends r-ggplot2

>=3.0.0

Depends r-hmisc

Depends r-magrittr

Depends r-proxy

Depends r-tibble

Depends r-tidyr

Depends r-vegan

Depends r-viridis

Requirements

Installation

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

conda install bioconductor-timeseriesexperiment

and update with:

conda update bioconductor-timeseriesexperiment

or use the docker container:

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

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