recipe bioconductor-gmoviz

Seamless visualization of complex genomic variations in GMOs and edited cell lines

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/gmoviz.html

License:

GPL-3

Recipe:

/bioconductor-gmoviz/meta.yaml

Genetically modified organisms (GMOs) and cell lines are widely used models in all kinds of biological research. As part of characterising these models, DNA sequencing technology and bioinformatics analyses are used systematically to study their genomes. Therefore, large volumes of data are generated and various algorithms are applied to analyse this data, which introduces a challenge on representing all findings in an informative and concise manner. `gmoviz` provides users with an easy way to visualise and facilitate the explanation of complex genomic editing events on a larger, biologically-relevant scale.

package bioconductor-gmoviz

Versions:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicalignments >=1.34.0,<1.35.0

• bioconductor-genomicfeatures >=1.50.0,<1.51.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-rtracklayer >=1.58.0,<1.59.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• r-base >=4.2,<4.3.0a0

• r-circlize

• r-colorspace

• r-gridbase

• r-pracma

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-gmoviz

and update with:

conda update bioconductor-gmoviz

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-gmoviz:<tag>

(see bioconductor-gmoviz/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-gmoviz/README.html)