:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'earlgrey' .. highlight: bash earlgrey ======== .. conda:recipe:: earlgrey :replaces_section_title: :noindex: Earl Grey\: A fully automated TE curation and annotation pipeline :homepage: https://github.com/TobyBaril/EarlGrey :documentation: https://github.com/TobyBaril/EarlGrey/blob/main/README.md :license: OSL-2.1 :recipe: /`earlgrey `_/`meta.yaml `_ :links: doi: :doi:`10.1093/molbev/msae068` Earl Grey is a full\-automated transposable element \(TE\) annotation pipeline\, leveraging the most widely\-used tools and combining these with a consensus elongation process \(BEAT\) to better define de novo consensus sequences when annotating new genome assemblies. .. conda:package:: earlgrey |downloads_earlgrey| |docker_earlgrey| :versions: .. raw:: html
4.2.3-04.1.1-14.1.1-04.1.0-04.0.8-04.0.7-04.0.6-04.0.5-04.0.4-0 ``4.2.3-0``,  ``4.1.1-1``,  ``4.1.1-0``,  ``4.1.0-0``,  ``4.0.8-0``,  ``4.0.7-0``,  ``4.0.6-0``,  ``4.0.5-0``,  ``4.0.4-0``,  ``4.0.3-0``,  ``4.0.2-0``,  ``4.0.1-1``,  ``4.0.1-0``,  ``4.0-1``,  ``4.0-0``,  ``3.2.2-0``,  ``3.2.1-0``,  ``3.2-0``,  ``3.1-0`` .. raw:: html
:depends bedtools: :depends bioconductor-bsgenome: :depends bioconductor-genomeinfodb: :depends bioconductor-genomeinfodbdata: :depends bioconductor-plyranges: :depends cd-hit: :depends emboss: :depends genometools-genometools: :depends hmmer: :depends libgcc-ng: ``>=12`` :depends libstdcxx-ng: ``>=12`` :depends ltr_retriever: :depends mafft: :depends mreps: :depends ncls: ``0.0.64.*`` :depends ninja-nj: :depends pandas: :depends parallel: :depends pybedtools: :depends pyfaidx: :depends pyranges: :depends python: ``3.9.*`` :depends r-ape: :depends r-cowplot: :depends r-ggtext: :depends r-optparse: :depends r-plyr: :depends r-tidyverse: :depends r-viridis: :depends recon: :depends repeatmasker: ``>=4.1.4`` :depends repeatmodeler: ``>=2.0.4`` :depends repeatscout: :depends trf: :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 earlgrey and update with:: mamba update earlgrey To create a new environment, run:: mamba create --name myenvname earlgrey 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/earlgrey: (see `earlgrey/tags`_ for valid values for ````) .. |downloads_earlgrey| image:: https://img.shields.io/conda/dn/bioconda/earlgrey.svg?style=flat :target: https://anaconda.org/bioconda/earlgrey :alt: (downloads) .. |docker_earlgrey| image:: https://quay.io/repository/biocontainers/earlgrey/status :target: https://quay.io/repository/biocontainers/earlgrey .. _`earlgrey/tags`: https://quay.io/repository/biocontainers/earlgrey?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/earlgrey/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/earlgrey/README.html