:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'hiline' .. highlight: bash hiline ====== .. conda:recipe:: hiline :replaces_section_title: :noindex: HiC alignment and classification pipeline. :homepage: https://github.com/wtsi-hpag/HiLine :license: MIT / MIT :recipe: /`hiline `_/`meta.yaml `_ This is a HiC short\-read alignment pipeline. It will perform an alignment\, or read in an external alignment\, perform optional duplicate\-read marking\, perform HiC read classification based on an in\-slico restriction digest of reference sequences and finally split the output alignments based on HiC read\-type. It can also optionally process and output HiC alignment statistics. Under the hood\, it uses bwa mem and samtools to perform and process alignments. It also uses a custom C\+\+ Python extension to perform the in\-silico digest \(using the Hyperscan \(https\:\/\/github.com\/intel\/hyperscan\) regex library\) and subsequent HiC classification. .. conda:package:: hiline |downloads_hiline| |docker_hiline| :versions: .. raw:: html
0.2.4-10.2.4-00.2.2-10.2.2-00.2.1-00.1-00.0.9-30.0.9-20.0.9-1 ``0.2.4-1``,  ``0.2.4-0``,  ``0.2.2-1``,  ``0.2.2-0``,  ``0.2.1-0``,  ``0.1-0``,  ``0.0.9-3``,  ``0.0.9-2``,  ``0.0.9-1``,  ``0.0.9-0``,  ``0.0.8-0``,  ``0.0.7-0``,  ``0.0.6-0``,  ``0.0.5-0``,  ``0.0.3-0``,  ``0.0.2-0``,  ``0.0.1-0`` .. raw:: html
:depends biopython: ``>=1.76`` :depends bwa: ``>=0.7.17`` :depends click: ``>=7.0`` :depends gawk: ``>=5.1.0`` :depends libcxx: ``>=12.0.1`` :depends matplotlib-base: ``>=3.2.0`` :depends minimap2: ``>=2.17`` :depends numpy: ``>=1.22.2,<2.0a0`` :depends pandas: ``>=1.0.1`` :depends pcre: ``>=8.45,<9.0a0`` :depends perl: ``>=5.30.3`` :depends python: ``>=3.9,<3.10.0a0`` :depends python_abi: ``3.9.* *_cp39`` :depends samtools: ``>=1.10`` :depends seaborn: ``>=0.10.0`` :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 hiline and update with:: mamba update hiline To create a new environment, run:: mamba create --name myenvname hiline 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/hiline: (see `hiline/tags`_ for valid values for ````) .. |downloads_hiline| image:: https://img.shields.io/conda/dn/bioconda/hiline.svg?style=flat :target: https://anaconda.org/bioconda/hiline :alt: (downloads) .. |docker_hiline| image:: https://quay.io/repository/biocontainers/hiline/status :target: https://quay.io/repository/biocontainers/hiline .. _`hiline/tags`: https://quay.io/repository/biocontainers/hiline?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/hiline/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/hiline/README.html