:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-rdisop' .. highlight: bash bioconductor-rdisop =================== .. conda:recipe:: bioconductor-rdisop :replaces_section_title: :noindex: Decomposition of Isotopic Patterns :homepage: https://bioconductor.org/packages/3.20/bioc/html/Rdisop.html :license: GPL-2 :recipe: /`bioconductor-rdisop `_/`meta.yaml `_ In high resolution mass spectrometry \(HR\-MS\)\, the measured masses can be decomposed into potential element combinations \(chemical sum formulas\). Where additional mass\/intensity information of respective isotopic peaks is available\, decomposition can take this information into account to better rank the potential candidate sum formulas. To compare measured mass\/intensity information with the theoretical distribution of candidate sum formulas\, the latter needs to be calculated. This package implements fast algorithms to address both tasks\, the calculation of isotopic distributions for arbitrary sum formulas \(assuming a HR\-MS resolution of roughly 30\,000\)\, and the ranked list of sum formulas fitting an observed peak or isotopic peak set. .. conda:package:: bioconductor-rdisop |downloads_bioconductor-rdisop| |docker_bioconductor-rdisop| :versions: .. raw:: html
1.66.0-01.62.0-11.62.0-01.60.0-01.58.0-21.58.0-11.58.0-01.54.0-21.54.0-1 ``1.66.0-0``,  ``1.62.0-1``,  ``1.62.0-0``,  ``1.60.0-0``,  ``1.58.0-2``,  ``1.58.0-1``,  ``1.58.0-0``,  ``1.54.0-2``,  ``1.54.0-1``,  ``1.54.0-0``,  ``1.52.0-0``,  ``1.50.0-1``,  ``1.50.0-0``,  ``1.48.0-0``,  ``1.46.0-0``,  ``1.44.0-1``,  ``1.44.0-0``,  ``1.42.1-0``,  ``1.42.0-0`` .. raw:: html
:depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc: ``>=13`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx: ``>=13`` :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-rcpp: :requirements: :additional platforms: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `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 `_ 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-rdisop and update with:: mamba update bioconductor-rdisop To create a new environment, run:: mamba create --name myenvname bioconductor-rdisop 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-rdisop: (see `bioconductor-rdisop/tags`_ for valid values for ````) .. |downloads_bioconductor-rdisop| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-rdisop.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-rdisop :alt: (downloads) .. |docker_bioconductor-rdisop| image:: https://quay.io/repository/biocontainers/bioconductor-rdisop/status :target: https://quay.io/repository/biocontainers/bioconductor-rdisop .. _`bioconductor-rdisop/tags`: https://quay.io/repository/biocontainers/bioconductor-rdisop?tab=tags .. raw:: html 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-rdisop/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-rdisop/README.html