- 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:
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
- 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:
[](http://bioconda.github.io/recipes/bioconductor-gmoviz/README.html)