recipe bioconductor-crisprvariants

Tools for counting and visualising mutations in a target location

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/CrispRVariants.html

License:

GPL-2

Recipe:

/bioconductor-crisprvariants/meta.yaml

Links:

biotools: crisprvariants

CrispRVariants provides tools for analysing the results of a CRISPR-Cas9 mutagenesis sequencing experiment, or other sequencing experiments where variants within a given region are of interest. These tools allow users to localize variant allele combinations with respect to any genomic location (e.g. the Cas9 cut site), plot allele combinations and calculate mutation rates with flexible filtering of unrelated variants.

package bioconductor-crisprvariants

versions:

1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0, 

1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0

depends bioconductor-annotationdbi:

>=1.68.0,<1.69.0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-genomeinfodb:

>=1.42.0,<1.43.0

depends bioconductor-genomicalignments:

>=1.42.0,<1.43.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-rsamtools:

>=2.22.0,<2.23.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends r-base:

>=4.4,<4.5.0a0

depends r-ggplot2:

>=2.2.0

depends r-gridextra:

depends r-reshape2:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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-crisprvariants

and update with::

   mamba update bioconductor-crisprvariants

To create a new environment, run:

mamba create --name myenvname bioconductor-crisprvariants

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-crisprvariants:<tag>

(see `bioconductor-crisprvariants/tags`_ for valid values for ``<tag>``)

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[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-crisprvariants/README.html)