recipe bioconductor-tmsig

Tools for Molecular Signatures

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/TMSig.html

License:

GPL (>= 3)

Recipe:

/bioconductor-tmsig/meta.yaml

The TMSig package contains tools to prepare, analyze, and visualize named lists of sets, with an emphasis on molecular signatures (such as gene or kinase sets). It includes fast, memory efficient functions to construct sparse incidence and similarity matrices and filter, cluster, invert, and decompose sets. Additionally, bubble heatmaps can be created to visualize the results of any differential or molecular signatures analysis.

package bioconductor-tmsig

(downloads) docker_bioconductor-tmsig

versions:

1.0.0-0

depends bioconductor-complexheatmap:

>=2.22.0,<2.23.0

depends bioconductor-gseabase:

>=1.68.0,<1.69.0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends r-base:

>=4.4,<4.5.0a0

depends r-circlize:

depends r-data.table:

depends r-matrix:

requirements:

additional platforms:

Installation

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-tmsig

and update with::

   mamba update bioconductor-tmsig

To create a new environment, run:

mamba create --name myenvname bioconductor-tmsig

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 quay.io/biocontainers/bioconductor-tmsig:<tag>

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

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