recipe bioconductor-spidermir

SpidermiR: An R/Bioconductor package for integrative network analysis with miRNA data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/SpidermiR.html

License:

GPL (>= 3)

Recipe:

/bioconductor-spidermir/meta.yaml

Links:

biotools: spidermir, doi: 10.3390/ijms18020274

The aims of SpidermiR are : i) facilitate the network open-access data retrieval from GeneMania data, ii) prepare the data using the appropriate gene nomenclature, iii) integration of miRNA data in a specific network, iv) provide different standard analyses and v) allow the user to visualize the results. In more detail, the package provides multiple methods for query, prepare and download network data (GeneMania), and the integration with validated and predicted miRNA data (mirWalk, miRTarBase, miRandola, Miranda, PicTar and TargetScan). Furthermore, we also present a statistical test to identify pharmaco-mir relationships using the gene-drug interactions derived by DGIdb and MATADOR database.

package bioconductor-spidermir

(downloads) docker_bioconductor-spidermir

versions:
1.32.0-01.30.0-01.28.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.0-0

1.32.0-01.30.0-01.28.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.0-01.14.0-11.12.0-01.10.0-01.8.2-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-mirnatap:

>=1.36.0,<1.37.0

depends bioconductor-mirnatap.db:

>=0.99.0,<0.100.0

depends bioconductor-org.hs.eg.db:

>=3.18.0,<3.19.0

depends r-base:

>=4.3,<4.4.0a0

depends r-gdata:

depends r-httr:

depends r-igraph:

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-spidermir

and update with::

   mamba update bioconductor-spidermir

To create a new environment, run:

mamba create --name myenvname bioconductor-spidermir

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-spidermir:<tag>

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

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