:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'biocamlib' .. highlight: bash biocamlib ========= .. conda:recipe:: biocamlib :replaces_section_title: :noindex: An OCaml foundation upon which a number of the bioinformatics tools are built. :homepage: https://github.com/PaoloRibeca/BiOCamLib :license: GPL-3.0-only :recipe: /`biocamlib `_/`meta.yaml `_ BiOCamLib is an OCaml foundation upon which a number of the bioinformatics tools are built\, including KPop \. It consists of four tools\: 1. RC\, which can efficiently compute the reverse complement of sequences. 2. Octopus\, which is a high\-throughput program to compute the transitive closure of strings. 3. Parallel\, which allows the splits and processes an input file chunk\-wise using a reader\/workers\/writer model. 4. FASTools\, which is a Swiss\-knife tool for the manipulation of FASTA\/FASTQ files. .. conda:package:: biocamlib |downloads_biocamlib| |docker_biocamlib| :versions: ``1.0.0-0`` :additional platforms: Installation ------------ You need a conda-compatible package manager (currently either `pixi `__, `conda `__, or `micromamba `__) and the Bioconda channel already activated (see :ref:`bioconda_setup`). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda). Pixi """" With pixi_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install globally, run:: pixi global install biocamlib to add into an existing workspace instead, run:: pixi add biocamlib In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:: pixi workspace channel add conda-forge pixi workspace channel add bioconda Conda """"" With conda_ installed and the Bioconda channel set up (see :ref:`bioconda_setup`), to install into an existing and activated environment, run:: conda install biocamlib Alternatively, to install into a new environment, run:: conda create -n envname biocamlib with ``envname`` being the name of the desired environment. Container """"""""" Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:: docker pull quay.io/biocontainers/biocamlib: (see `biocamlib/tags`_ for valid values for ````). Integrated deployment """"""""""""""""""""" Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration. .. _conda: https://conda.io .. _pixi: https://pixi.sh .. |downloads_biocamlib| image:: https://img.shields.io/conda/dn/bioconda/biocamlib.svg?style=flat :target: https://anaconda.org/bioconda/biocamlib :alt: (downloads) .. |docker_biocamlib| image:: https://quay.io/repository/biocontainers/biocamlib/status :target: https://quay.io/repository/biocontainers/biocamlib .. _`biocamlib/tags`: https://quay.io/repository/biocontainers/biocamlib?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/biocamlib/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/biocamlib/README.html