:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-biomvrcns' .. highlight: bash bioconductor-biomvrcns ====================== .. conda:recipe:: bioconductor-biomvrcns :replaces_section_title: :noindex: Copy Number study and Segmentation for multivariate biological data :homepage: https://bioconductor.org/packages/3.18/bioc/html/biomvRCNS.html :license: GPL (>= 2) :recipe: /`bioconductor-biomvrcns `_/`meta.yaml `_ In this package\, a Hidden Semi Markov Model \(HSMM\) and one homogeneous segmentation model are designed and implemented for segmentation genomic data\, with the aim of assisting in transcripts detection using high throughput technology like RNA\-seq or tiling array\, and copy number analysis using aCGH or sequencing. .. conda:package:: bioconductor-biomvrcns |downloads_bioconductor-biomvrcns| |docker_bioconductor-biomvrcns| :versions: .. raw:: html
1.42.1-01.38.0-11.38.0-01.34.0-21.34.0-11.34.0-01.32.0-01.30.0-11.30.0-0 ``1.42.1-0``,  ``1.38.0-1``,  ``1.38.0-0``,  ``1.34.0-2``,  ``1.34.0-1``,  ``1.34.0-0``,  ``1.32.0-0``,  ``1.30.0-1``,  ``1.30.0-0``,  ``1.28.0-0``,  ``1.26.0-0``,  ``1.24.0-1``,  ``1.22.0-0`` .. raw:: html
:depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-genomicranges: ``>=1.54.1,<1.55.0a0`` :depends bioconductor-gviz: ``>=1.46.0,<1.47.0`` :depends bioconductor-gviz: ``>=1.46.1,<1.47.0a0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-mvtnorm: :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-biomvrcns and update with:: mamba update bioconductor-biomvrcns To create a new environment, run:: mamba create --name myenvname bioconductor-biomvrcns 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-biomvrcns: (see `bioconductor-biomvrcns/tags`_ for valid values for ````) .. |downloads_bioconductor-biomvrcns| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-biomvrcns.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-biomvrcns :alt: (downloads) .. |docker_bioconductor-biomvrcns| image:: https://quay.io/repository/biocontainers/bioconductor-biomvrcns/status :target: https://quay.io/repository/biocontainers/bioconductor-biomvrcns .. _`bioconductor-biomvrcns/tags`: https://quay.io/repository/biocontainers/bioconductor-biomvrcns?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-biomvrcns/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-biomvrcns/README.html