recipe bioconductor-compran

Complexome Profiling Analysis package






This package is for analysis of SILAC labeled complexome profiling data. It uses peptide table in tab-delimited format as an input and produces ready-to-use tables and plots.

package bioconductor-compran

(downloads) docker_bioconductor-compran



depends r-base:


depends r-data.table:

depends r-dplyr:

depends r-dt:

depends r-forcats:

depends r-ggplot2:

depends r-magrittr:

depends r-purrr:

depends r-rcolorbrewer:

depends r-rio:

depends r-rlang:

depends r-scales:

depends r-shiny:

depends r-shinydashboard:

depends r-shinyjs:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

depends r-venndiagram:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-compran

and update with::

   mamba update bioconductor-compran

To create a new environment, run:

mamba create --name myenvname bioconductor-compran

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-compran/tags`_ for valid values for ``<tag>``)

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