:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-chipanalyser' .. highlight: bash bioconductor-chipanalyser ========================= .. conda:recipe:: bioconductor-chipanalyser :replaces_section_title: :noindex: ChIPanalyser\: Predicting Transcription Factor Binding Sites :homepage: https://bioconductor.org/packages/3.18/bioc/html/ChIPanalyser.html :license: GPL-3 :recipe: /`bioconductor-chipanalyser `_/`meta.yaml `_ ChIPanalyser is a package to predict and understand TF binding by utilizing a statistical thermodynamic model. The model incorporates 4 main factors thought to drive TF binding\: Chromatin State\, Binding energy\, Number of bound molecules and a scaling factor modulating TF binding affinity. Taken together\, ChIPanalyser produces ChIP\-like profiles that closely mimic the patterns seens in real ChIP\-seq data. .. conda:package:: bioconductor-chipanalyser |downloads_bioconductor-chipanalyser| |docker_bioconductor-chipanalyser| :versions: .. raw:: html
1.24.0-01.22.0-01.20.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.0-01.8.0-0 ``1.24.0-0``,  ``1.22.0-0``,  ``1.20.0-0``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.0-1``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-0``,  ``1.6.0-1``,  ``1.4.0-0`` .. raw:: html
:depends bioconductor-biostrings: ``>=2.70.0,<2.71.0`` :depends bioconductor-bsgenome: ``>=1.70.0,<1.71.0`` :depends bioconductor-genomeinfodb: ``>=1.38.0,<1.39.0`` :depends bioconductor-genomicranges: ``>=1.54.0,<1.55.0`` :depends bioconductor-iranges: ``>=2.36.0,<2.37.0`` :depends bioconductor-rtracklayer: ``>=1.62.0,<1.63.0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-biocmanager: :depends r-rcolorbrewer: :depends r-rcpproll: :depends r-rocr: :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-chipanalyser and update with:: mamba update bioconductor-chipanalyser To create a new environment, run:: mamba create --name myenvname bioconductor-chipanalyser 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-chipanalyser: (see `bioconductor-chipanalyser/tags`_ for valid values for ````) .. |downloads_bioconductor-chipanalyser| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-chipanalyser.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-chipanalyser :alt: (downloads) .. |docker_bioconductor-chipanalyser| image:: https://quay.io/repository/biocontainers/bioconductor-chipanalyser/status :target: https://quay.io/repository/biocontainers/bioconductor-chipanalyser .. _`bioconductor-chipanalyser/tags`: https://quay.io/repository/biocontainers/bioconductor-chipanalyser?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-chipanalyser/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-chipanalyser/README.html