:orphan:  .. only available via index, not via toctree

.. title:: Package Recipe 'bioconductor-spidermir'
.. highlight: bash

bioconductor-spidermir
======================

.. conda:recipe:: bioconductor-spidermir
   :replaces_section_title:
   :noindex:

   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 <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-spidermir>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-spidermir/meta.yaml>`_
   :links: biotools: :biotools:`spidermir`, doi: :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.


.. conda:package:: bioconductor-spidermir

   |downloads_bioconductor-spidermir| |docker_bioconductor-spidermir|

   :versions:
      
      
      .. raw:: html

         <details><summary><span class="truncated-version-list"><code>1.32.0-0</code>,  <code>1.30.0-0</code>,  <code>1.28.0-0</code>,  <code>1.24.0-0</code>,  <code>1.22.0-0</code>,  <code>1.20.0-1</code>,  <code>1.20.0-0</code>,  <code>1.18.0-0</code>,  <code>1.16.0-0</code>,  </span></summary>
      

      ``1.32.0-0``,  ``1.30.0-0``,  ``1.28.0-0``,  ``1.24.0-0``,  ``1.22.0-0``,  ``1.20.0-1``,  ``1.20.0-0``,  ``1.18.0-0``,  ``1.16.0-0``,  ``1.14.0-1``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.2-0``

      
      .. raw:: html

         </details>
      

   
   :depends on bioconductor-annotationdbi: ``>=1.64.0,<1.65.0``
   :depends on bioconductor-mirnatap: ``>=1.36.0,<1.37.0``
   :depends on bioconductor-mirnatap.db: ``>=0.99.0,<0.100.0``
   :depends on bioconductor-org.hs.eg.db: ``>=3.18.0,<3.19.0``
   :depends on r-base: ``>=4.3,<4.4.0a0``
   :depends on r-gdata: 
   :depends on r-httr: 
   :depends on r-igraph: 

   :additional platforms:
      

Installation
------------

You need a conda-compatible package manager
(currently either `pixi <https://pixi.sh>`__, `conda <https://docs.conda.io/projects/conda>`__, or `micromamba <https://mamba.readthedocs.io>`__)
and the Bioconda channel already activated (see :ref:`bioconda_setup`).
Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi
""""

With pixi_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`),
to install globally, run::

    pixi global install bioconductor-spidermir

to add into an existing workspace instead, run::

    pixi add bioconductor-spidermir

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace::

    pixi workspace channel add conda-forge
    pixi workspace channel add bioconda

Conda
"""""

With conda_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install into an existing and activated environment, run::

    conda install bioconductor-spidermir

Alternatively, to install into a new environment, run::

    conda create -n envname bioconductor-spidermir

with ``envname`` being the name of the desired environment.

Container
"""""""""

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime.
For e.g. docker, run::

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

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

Integrated deployment
"""""""""""""""""""""

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment.
Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency.
Check the documentation of your workflow management system to find out about the integration.

.. _conda: https://conda.io
.. _pixi: https://pixi.sh
.. |downloads_bioconductor-spidermir| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-spidermir.svg?style=flat
   :target: https://anaconda.org/bioconda/bioconductor-spidermir
   :alt:   (downloads)
.. |docker_bioconductor-spidermir| image:: https://quay.io/repository/biocontainers/bioconductor-spidermir/status
   :target: https://quay.io/repository/biocontainers/bioconductor-spidermir
.. _`bioconductor-spidermir/tags`: https://quay.io/repository/biocontainers/bioconductor-spidermir?tab=tags


.. raw:: html

    <script>
        var package = "bioconductor-spidermir";
        var versions = ["1.32.0","1.30.0","1.28.0","1.24.0","1.22.0"];
    </script>






Download stats
-----------------

.. raw:: html
    :file: ../../templates/package_dashboard.html

Link to this page
-----------------

Render an |install-with-bioconda| badge with the following MarkDown::

   [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-spidermir/README.html)

.. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat
   :target: http://bioconda.github.io/recipes/bioconductor-spidermir/README.html