:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-dinor' .. highlight: bash bioconductor-dinor ================== .. conda:recipe:: bioconductor-dinor :replaces_section_title: :noindex: Differential NOMe\-seq analysis :homepage: https://bioconductor.org/packages/3.20/bioc/html/dinoR.html :license: MIT + file LICENSE :recipe: /`bioconductor-dinor `_/`meta.yaml `_ dinoR tests for significant differences in NOMe\-seq footprints between two conditions\, using genomic regions of interest \(ROI\) centered around a landmark\, for example a transcription factor \(TF\) motif. This package takes NOMe\-seq data \(GCH methylation\/protection\) in the form of a Ranged Summarized Experiment as input. dinoR can be used to group sequencing fragments into 3 or 5 categories representing characteristic footprints \(TF bound\, nculeosome bound\, open chromatin\)\, plot the percentage of fragments in each category in a heatmap\, or averaged across different ROI groups\, for example\, containing a common TF motif. It is designed to compare footprints between two sample groups\, using edgeR\'s quasi\-likelihood methods on the total fragment counts per ROI\, sample\, and footprint category. .. conda:package:: bioconductor-dinor |downloads_bioconductor-dinor| |docker_bioconductor-dinor| :versions: ``1.2.0-0`` :depends bioconductor-biocgenerics: ``>=0.52.0,<0.53.0`` :depends bioconductor-complexheatmap: ``>=2.22.0,<2.23.0`` :depends bioconductor-edger: ``>=4.4.0,<4.5.0`` :depends bioconductor-genomicranges: ``>=1.58.0,<1.59.0`` :depends bioconductor-summarizedexperiment: ``>=1.36.0,<1.37.0`` :depends r-base: ``>=4.4,<4.5.0a0`` :depends r-circlize: :depends r-cowplot: :depends r-dplyr: :depends r-ggplot2: :depends r-matrix: :depends r-rlang: :depends r-stringr: :depends r-tibble: :depends r-tidyr: :depends r-tidyselect: :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-dinor and update with:: mamba update bioconductor-dinor To create a new environment, run:: mamba create --name myenvname bioconductor-dinor 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-dinor: (see `bioconductor-dinor/tags`_ for valid values for ````) .. |downloads_bioconductor-dinor| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-dinor.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-dinor :alt: (downloads) .. |docker_bioconductor-dinor| image:: https://quay.io/repository/biocontainers/bioconductor-dinor/status :target: https://quay.io/repository/biocontainers/bioconductor-dinor .. _`bioconductor-dinor/tags`: https://quay.io/repository/biocontainers/bioconductor-dinor?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-dinor/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-dinor/README.html