:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-cellbarcode' .. highlight: bash bioconductor-cellbarcode ======================== .. conda:recipe:: bioconductor-cellbarcode :replaces_section_title: :noindex: Cellular DNA Barcode Analysis toolkit :homepage: https://bioconductor.org/packages/3.18/bioc/html/CellBarcode.html :license: MIT + file LICENSE :recipe: /`bioconductor-cellbarcode `_/`meta.yaml `_ The package CellBarcode performs Cellular DNA Barcode analysis. It can handle all kinds of DNA barcodes\, as long as the barcode is within a single sequencing read and has a pattern that can be matched by a regular expression. \\code\{CellBarcode\} can handle barcodes with flexible lengths\, with or without UMI \(unique molecular identifier\). This tool also can be used for pre\-processing some amplicon data such as CRISPR gRNA screening\, immune repertoire sequencing\, and metagenome data. .. conda:package:: bioconductor-cellbarcode |downloads_bioconductor-cellbarcode| |docker_bioconductor-cellbarcode| :versions: ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-1``,  ``1.4.0-0``,  ``1.0.0-2``,  ``1.0.0-1``,  ``1.0.0-0`` :depends bioconductor-biostrings: ``>=2.70.0,<2.71.0`` :depends bioconductor-biostrings: ``>=2.70.1,<2.71.0a0`` :depends bioconductor-s4vectors: ``>=0.40.0,<0.41.0`` :depends bioconductor-s4vectors: ``>=0.40.2,<0.41.0a0`` :depends bioconductor-shortread: ``>=1.60.0,<1.61.0`` :depends bioconductor-shortread: ``>=1.60.0,<1.61.0a0`` :depends bioconductor-zlibbioc: ``>=1.48.0,<1.49.0`` :depends bioconductor-zlibbioc: ``>=1.48.0,<1.49.0a0`` :depends libblas: ``>=3.9.0,<4.0a0`` :depends libgcc-ng: ``>=12`` :depends liblapack: ``>=3.9.0,<4.0a0`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-bh: :depends r-ckmeans.1d.dp: :depends r-data.table: ``>=1.12.6`` :depends r-egg: :depends r-ggplot2: :depends r-magrittr: :depends r-plyr: :depends r-rcpp: ``>=1.0.5`` :depends r-seqinr: :depends r-stringr: :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-cellbarcode and update with:: mamba update bioconductor-cellbarcode To create a new environment, run:: mamba create --name myenvname bioconductor-cellbarcode 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-cellbarcode: (see `bioconductor-cellbarcode/tags`_ for valid values for ````) .. |downloads_bioconductor-cellbarcode| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-cellbarcode.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-cellbarcode :alt: (downloads) .. |docker_bioconductor-cellbarcode| image:: https://quay.io/repository/biocontainers/bioconductor-cellbarcode/status :target: https://quay.io/repository/biocontainers/bioconductor-cellbarcode .. _`bioconductor-cellbarcode/tags`: https://quay.io/repository/biocontainers/bioconductor-cellbarcode?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-cellbarcode/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-cellbarcode/README.html