:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-ngsreports' .. highlight: bash bioconductor-ngsreports ======================= .. conda:recipe:: bioconductor-ngsreports :replaces_section_title: :noindex: Load FastqQC reports and other NGS related files :homepage: https://bioconductor.org/packages/3.18/bioc/html/ngsReports.html :license: file LICENSE :recipe: /`bioconductor-ngsreports `_/`meta.yaml `_ This package provides methods and object classes for parsing FastQC reports and output summaries from other NGS tools into R. As well as parsing files\, multiple plotting methods have been implemented for visualising the parsed data. Plots can be generated as static ggplot objects or interactive plotly objects. .. conda:package:: bioconductor-ngsreports |downloads_bioconductor-ngsreports| |docker_bioconductor-ngsreports| :versions: .. raw:: html
2.4.0-02.2.4-02.0.0-01.10.0-01.8.0-01.6.1-01.6.0-01.4.0-01.2.0-0 ``2.4.0-0``,  ``2.2.4-0``,  ``2.0.0-0``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.1-0``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-0``,  ``1.0.0-1`` .. raw:: html
:depends bioconductor-biocgenerics: ``>=0.48.0,<0.49.0`` :depends bioconductor-biostrings: ``>=2.70.0,<2.71.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-checkmate: :depends r-dplyr: ``>=1.1.0`` :depends r-dt: :depends r-forcats: :depends r-ggdendro: :depends r-ggplot2: ``>=3.4.0`` :depends r-jsonlite: :depends r-lifecycle: :depends r-lubridate: :depends r-pander: :depends r-patchwork: ``>=1.1.1`` :depends r-plotly: ``>=4.9.4`` :depends r-readr: :depends r-reshape2: :depends r-rlang: :depends r-rmarkdown: :depends r-scales: :depends r-stringr: :depends r-tibble: ``>=1.3.1`` :depends r-tidyr: :depends r-tidyselect: ``>=0.2.3`` :depends r-zoo: :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-ngsreports and update with:: mamba update bioconductor-ngsreports To create a new environment, run:: mamba create --name myenvname bioconductor-ngsreports 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-ngsreports: (see `bioconductor-ngsreports/tags`_ for valid values for ````) .. |downloads_bioconductor-ngsreports| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-ngsreports.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-ngsreports :alt: (downloads) .. |docker_bioconductor-ngsreports| image:: https://quay.io/repository/biocontainers/bioconductor-ngsreports/status :target: https://quay.io/repository/biocontainers/bioconductor-ngsreports .. _`bioconductor-ngsreports/tags`: https://quay.io/repository/biocontainers/bioconductor-ngsreports?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-ngsreports/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-ngsreports/README.html