:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'vsclust' .. highlight: bash vsclust ======= .. conda:recipe:: vsclust :replaces_section_title: :noindex: Interactive tool for statistical testing\, data browsing and interactive visualization of quantitative omics data :homepage: https://bitbucket.org/veitveit/vsclust/src/master/ :license: GPL / GPL (>=2) :recipe: /`vsclust `_/`meta.yaml `_ :links: biotools: :biotools:`vsclust`, doi: :doi:`10.1093/bioinformatics/bty224` VSClust is a web service \(shiny app\) and command\-line tool for statistical testing\, clustering and interactive visualization of quantitative omics data. Its variance\-sensitive clustering algorithm improves identification of co\-regulated features in noisy data with replicates .. conda:package:: vsclust |downloads_vsclust| |docker_vsclust| :versions: ``0.91-0``,  ``0.87-0`` :depends bioconductor-clusterprofiler: ``4.2.0.*`` :depends bioconductor-limma: :depends bioconductor-mfuzz: :depends bioconductor-qvalue: :depends r-base: ``>=4.1,<4.2.0a0`` :depends r-data.table: :depends r-matrixstats: :depends r-parallelly: :depends r-readxl: :depends r-shinyjs: :depends r-shinythemes: :depends r-yaml: :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 vsclust and update with:: mamba update vsclust To create a new environment, run:: mamba create --name myenvname vsclust 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/vsclust: (see `vsclust/tags`_ for valid values for ````) .. |downloads_vsclust| image:: https://img.shields.io/conda/dn/bioconda/vsclust.svg?style=flat :target: https://anaconda.org/bioconda/vsclust :alt: (downloads) .. |docker_vsclust| image:: https://quay.io/repository/biocontainers/vsclust/status :target: https://quay.io/repository/biocontainers/vsclust .. _`vsclust/tags`: https://quay.io/repository/biocontainers/vsclust?tab=tags .. raw:: html Notes ----- The shiny app can be run with the run\_app.sh command. Alternative\, a command\-line version is available\: runVSClust.R 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/vsclust/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/vsclust/README.html