:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-chipseq' .. highlight: bash bioconductor-chipseq ==================== .. conda:recipe:: bioconductor-chipseq :replaces_section_title: :noindex: chipseq\: A package for analyzing chipseq data :homepage: https://bioconductor.org/packages/3.18/bioc/html/chipseq.html :license: Artistic-2.0 :recipe: /`bioconductor-chipseq `_/`meta.yaml `_ :links: biotools: :biotools:`chipseq`, doi: :doi:`10.1038/nmeth.3252` Tools for helping process short read data for chipseq experiments. .. conda:package:: bioconductor-chipseq |downloads_bioconductor-chipseq| |docker_bioconductor-chipseq| :versions: .. raw:: html
1.52.0-01.50.0-01.48.0-11.48.0-01.44.0-21.44.0-11.44.0-01.42.0-01.40.0-1 ``1.52.0-0``,  ``1.50.0-0``,  ``1.48.0-1``,  ``1.48.0-0``,  ``1.44.0-2``,  ``1.44.0-1``,  ``1.44.0-0``,  ``1.42.0-0``,  ``1.40.0-1``,  ``1.40.0-0``,  ``1.38.0-0``,  ``1.36.0-0``,  ``1.34.0-1``,  ``1.32.0-1``,  ``1.32.0-0``,  ``1.30.0-0``,  ``1.28.0-0``,  ``1.26.1-0``,  ``1.24.0-0`` .. raw:: html
:depends bioconductor-biocgenerics: ``>=0.48.0,<0.49.0`` :depends bioconductor-biocgenerics: ``>=0.48.1,<0.49.0a0`` :depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-genomicranges: ``>=1.54.1,<1.55.0a0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0a0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :depends bioconductor-shortread: ``>=1.60.0,<1.61.0`` :depends bioconductor-shortread: ``>=1.60.0,<1.61.0a0`` :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-lattice: :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-chipseq and update with:: mamba update bioconductor-chipseq To create a new environment, run:: mamba create --name myenvname bioconductor-chipseq 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-chipseq: (see `bioconductor-chipseq/tags`_ for valid values for ````) .. |downloads_bioconductor-chipseq| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-chipseq.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-chipseq :alt: (downloads) .. |docker_bioconductor-chipseq| image:: https://quay.io/repository/biocontainers/bioconductor-chipseq/status :target: https://quay.io/repository/biocontainers/bioconductor-chipseq .. _`bioconductor-chipseq/tags`: https://quay.io/repository/biocontainers/bioconductor-chipseq?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-chipseq/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-chipseq/README.html