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

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

bioconductor-rgoslin
====================

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

   Lipid Shorthand Name Parsing and Normalization

   :homepage: https://bioconductor.org/packages/3.18/bioc/html/rgoslin.html
   :license: MIT + file LICENSE
   :recipe: /`bioconductor-rgoslin <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-rgoslin>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-rgoslin/meta.yaml>`_

   The R implementation for the Grammar of Succint Lipid Nomenclature parses different short hand notation dialects for lipid names. It normalizes them to a standard name. It further provides calculated monoisotopic masses and sum formulas for each successfully parsed lipid name and supplements it with LIPID MAPS Category and Class information. Also\, the structural level and further structural details about the head group\, fatty acyls and functional groups are returned\, where applicable.


.. conda:package:: bioconductor-rgoslin

   |downloads_bioconductor-rgoslin| |docker_bioconductor-rgoslin|

   :versions:
      
      

      ``1.6.0-1``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-2``,  ``1.2.0-1``,  ``1.2.0-0``

      

   
   :depends libblas: ``>=3.9.0,<4.0a0``
   :depends libgcc-ng: ``>=12``
   :depends liblapack: ``>=3.9.0,<4.0a0``
   :depends libstdcxx-ng: ``>=12``
   :depends r-base: ``>=4.3,<4.4.0a0``
   :depends r-dplyr: 
   :depends r-rcpp: ``>=1.0.3``
   :requirements:

   .. rubric:: Installation

  You need a conda-compatible package manager
  (currently either `micromamba <https://mamba.readthedocs.io>`_, `mamba <https://mamba.readthedocs.io>`_, or `conda <https://docs.conda.io/projects/conda>`_)
  and the Bioconda channel already activated (see :ref:`set-up-channels`).

  While any of above package managers is fine, it is currently recommended to use either
  micromamba or mamba (see `here <https://mamba.readthedocs.io>`_ 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-rgoslin

   and update with::

      mamba update bioconductor-rgoslin

  To create a new environment, run::

      mamba create --name myenvname bioconductor-rgoslin

  with ``myenvname`` being a reasonable name for the environment
  (see e.g. the `mamba docs <https://mamba.readthedocs.io>`_ for details and further options).

  Alternatively, use the docker container::

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

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


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


.. raw:: html

    <script>
        var package = "bioconductor-rgoslin";
        var versions = ["1.6.0","1.6.0","1.4.0","1.2.0","1.2.0"];
    </script>






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

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

Link to this page
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Render an |install-with-bioconda| badge with the following MarkDown::

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.. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat
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