:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'dbcanlight' .. highlight: bash dbcanlight ========== .. conda:recipe:: dbcanlight :replaces_section_title: :noindex: A lightweight CAZyme annotation tool :homepage: https://github.com/chtsai0105/dbcanlight :documentation: https://github.com/chtsai0105/dbcanlight/blob/v1.1.1/README.md :license: MIT / MIT :recipe: /`dbcanlight `_/`meta.yaml `_ Dbcanlight is a lightweight rewrite of a widely used CAZyme annotation tool run\_dbcan. It uses pyhmmer\, a Cython binding to HMMER3\, in place of the HMMER3 CLI suite as the backend for search processes\, improving multithreading performance. In addition\, it removes a limitation in run\_dbcan that required manual splitting of large sequence files beforehand. The main program dbcanlight comprises three modules \- build\, search and conclude. The build module help to download the required databases from dbcan website\; the search module searches against protein HMM\, substrate HMM or diamond databases and reports the hits separately\; and the conclude module gathers all the results made by each module and provides a summary. The output format closely resembles that of run\_dbcan\, with minor cleanup. For example\, run\_dbcan may report the same substrate multiple times for a gene matching several profiles with that substrate\, whereas dbcanlight reports it only once. Dbcanlight only reimplemented the core features of run\_dbcan\, that is searching for CAZyme and substrate matches by hmmer\/diamond\/dbcansub. Submodules like signalP\, CGCFinder\, etc. are not implemented. .. conda:package:: dbcanlight |downloads_dbcanlight| |docker_dbcanlight| :versions: ``1.1.1-0``,  ``1.1.0-0``,  ``1.0.2-0``,  ``1.0.1-0``,  ``1.0.0-0`` :depends biopython: ``>=1.81`` :depends pyhmmer: ``>=0.11.0`` :depends python: ``>=3.9`` :depends urllib3: ``>=2.3.0`` :requirements: :additional platforms: .. 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 dbcanlight and update with:: mamba update dbcanlight To create a new environment, run:: mamba create --name myenvname dbcanlight 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/dbcanlight: (see `dbcanlight/tags`_ for valid values for ````) .. |downloads_dbcanlight| image:: https://img.shields.io/conda/dn/bioconda/dbcanlight.svg?style=flat :target: https://anaconda.org/bioconda/dbcanlight :alt: (downloads) .. |docker_dbcanlight| image:: https://quay.io/repository/biocontainers/dbcanlight/status :target: https://quay.io/repository/biocontainers/dbcanlight .. _`dbcanlight/tags`: https://quay.io/repository/biocontainers/dbcanlight?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/dbcanlight/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/dbcanlight/README.html