recipe bioconductor-crisprviz

Visualization Functions for CRISPR gRNAs

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-crisprviz/meta.yaml

Provides functionalities to visualize and contextualize CRISPR guide RNAs (gRNAs) on genomic tracks across nucleases and applications. Works in conjunction with the crisprBase and crisprDesign Bioconductor packages. Plots are produced using the Gviz framework.

package bioconductor-crisprviz

versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-bsgenome:

>=1.74.0,<1.75.0

depends bioconductor-crisprbase:

>=1.10.0,<1.11.0

depends bioconductor-crisprdesign:

>=1.8.0,<1.9.0

depends bioconductor-genomeinfodb:

>=1.42.0,<1.43.0

depends bioconductor-genomicfeatures:

>=1.58.0,<1.59.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-gviz:

>=1.50.0,<1.51.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-txdbmaker:

>=1.2.0,<1.3.0

depends r-base:

>=4.4,<4.5.0a0

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-crisprviz

and update with::

   mamba update bioconductor-crisprviz

To create a new environment, run:

mamba create --name myenvname bioconductor-crisprviz

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-crisprviz:<tag>

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

Download stats

Link to this page

Render an 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-crisprviz/README.html)