:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-pfamanalyzer' .. highlight: bash bioconductor-pfamanalyzer ========================= .. conda:recipe:: bioconductor-pfamanalyzer :replaces_section_title: :noindex: Identification of domain isotypes in pfam data :homepage: https://bioconductor.org/packages/3.18/bioc/html/pfamAnalyzeR.html :license: MIT + file LICENSE :recipe: /`bioconductor-pfamanalyzer `_/`meta.yaml `_ Protein domains is one of the most import annoation of proteins we have with the Pfam database\/tool being \(by far\) the most used tool. This R package enables the user to read the pfam prediction from both webserver and stand\-alone runs into R. We have recently shown most human protein domains exist as multiple distinct variants termed domain isotypes. Different domain isotypes are used in a cell\, tissue\, and disease\-specific manner. Accordingly\, we find that domain isotypes\, compared to each other\, modulate\, or abolish the functionality of a protein domain. This R package enables the identification and classification of such domain isotypes from Pfam data. .. conda:package:: bioconductor-pfamanalyzer |downloads_bioconductor-pfamanalyzer| |docker_bioconductor-pfamanalyzer| :versions: ``1.2.0-0``,  ``1.0.1-0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-dplyr: :depends r-magrittr: :depends r-readr: :depends r-stringr: :depends r-tibble: :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-pfamanalyzer and update with:: mamba update bioconductor-pfamanalyzer To create a new environment, run:: mamba create --name myenvname bioconductor-pfamanalyzer 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-pfamanalyzer: (see `bioconductor-pfamanalyzer/tags`_ for valid values for ````) .. |downloads_bioconductor-pfamanalyzer| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-pfamanalyzer.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-pfamanalyzer :alt: (downloads) .. |docker_bioconductor-pfamanalyzer| image:: https://quay.io/repository/biocontainers/bioconductor-pfamanalyzer/status :target: https://quay.io/repository/biocontainers/bioconductor-pfamanalyzer .. _`bioconductor-pfamanalyzer/tags`: https://quay.io/repository/biocontainers/bioconductor-pfamanalyzer?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-pfamanalyzer/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-pfamanalyzer/README.html