recipe bioconductor-bandle

An R package for the Bayesian analysis of differential subcellular localisation experiments

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/bandle.html

License:

Artistic-2.0

Recipe:

/bioconductor-bandle/meta.yaml

The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data. Experimental methods supported include dynamic LOPIT-DC, hyperLOPIT, Dynamic Organellar Maps, Dynamic PCP. It provides Bioconductor infrastructure to analyse these data.

package bioconductor-bandle

Versions:

1.2.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biocstyle >=2.26.0,<2.27.0

• bioconductor-msnbase >=2.24.0,<2.25.0

• bioconductor-proloc >=1.38.0,<1.39.0

• bioconductor-prolocdata >=1.36.0,<1.37.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-bh

• r-circlize

• r-dplyr

• r-ggalluvial

• r-ggplot2

• r-ggrepel

• r-knitr

• r-lbfgs

• r-plyr

• r-rcpp >=1.0.4.6

• r-rcpparmadillo

• r-rlang

• r-robustbase

• r-tidyr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-bandle

and update with:

conda update bioconductor-bandle

or use the docker container:

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

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

Download stats

Link to this page

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