:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-xina' .. highlight: bash bioconductor-xina ================= .. conda:recipe:: bioconductor-xina :replaces_section_title: :noindex: Multiplexes Isobaric Mass Tagged\-based Kinetics Data for Network Analysis :homepage: https://bioconductor.org/packages/3.18/bioc/html/XINA.html :license: GPL-3 :recipe: /`bioconductor-xina `_/`meta.yaml `_ The aim of XINA is to determine which proteins exhibit similar patterns within and across experimental conditions\, since proteins with co\-abundance patterns may have common molecular functions. XINA imports multiple datasets\, tags dataset in silico\, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. XINA\, not only extracts coabundance profiles within and across experiments\, but also incorporates protein\-protein interaction databases and integrative resources such as KEGG to infer interactors and molecular functions\, respectively\, and produces intuitive graphical outputs. .. conda:package:: bioconductor-xina |downloads_bioconductor-xina| |docker_bioconductor-xina| :versions: .. raw:: html
1.20.0-01.18.0-01.16.0-01.12.0-01.10.0-01.8.0-11.8.0-01.6.0-01.4.0-0 ``1.20.0-0``,  ``1.18.0-0``,  ``1.16.0-0``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-1``,  ``1.0.1-0``,  ``1.0.0-0`` .. raw:: html
:depends bioconductor-stringdb: ``>=2.14.0,<2.15.0`` :depends r-alluvial: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-ggplot2: :depends r-gridextra: :depends r-igraph: :depends r-mclust: :depends r-plyr: :requirements: .. 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-xina and update with:: mamba update bioconductor-xina To create a new environment, run:: mamba create --name myenvname bioconductor-xina 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-xina: (see `bioconductor-xina/tags`_ for valid values for ````) .. |downloads_bioconductor-xina| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-xina.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-xina :alt: (downloads) .. |docker_bioconductor-xina| image:: https://quay.io/repository/biocontainers/bioconductor-xina/status :target: https://quay.io/repository/biocontainers/bioconductor-xina .. _`bioconductor-xina/tags`: https://quay.io/repository/biocontainers/bioconductor-xina?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-xina/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-xina/README.html