- recipe bioconductor-gviz
Plotting data and annotation information along genomic coordinates
- Homepage:
- License:
Artistic-2.0
- Recipe:
- Links:
biotools: gviz
Genomic data analyses requires integrated visualization of known genomic information and new experimental data. Gviz uses the biomaRt and the rtracklayer packages to perform live annotation queries to Ensembl and UCSC and translates this to e.g. gene/transcript structures in viewports of the grid graphics package. This results in genomic information plotted together with your data.
- package bioconductor-gviz¶
-
- Versions:
1.42.0-0
,1.38.0-0
,1.36.1-0
,1.34.1-0
,1.34.0-0
,1.32.0-0
,1.30.0-0
,1.28.0-1
,1.26.4-0
,1.42.0-0
,1.38.0-0
,1.36.1-0
,1.34.1-0
,1.34.0-0
,1.32.0-0
,1.30.0-0
,1.28.0-1
,1.26.4-0
,1.24.0-0
,1.22.3-0
,1.22.0-0
,1.20.0-0
,1.16.5-2
,1.14.2-0
- Depends:
bioconductor-annotationdbi
>=1.60.0,<1.61.0
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-biomart
>=2.54.0,<2.55.0
bioconductor-biostrings
>=2.66.0,<2.67.0
bioconductor-biovizbase
>=1.46.0,<1.47.0
bioconductor-bsgenome
>=1.66.0,<1.67.0
bioconductor-ensembldb
>=2.22.0,<2.23.0
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
bioconductor-xvector
>=0.38.0,<0.39.0
r-base
>=4.2,<4.3.0a0
r-digest
>=0.6.8
r-latticeextra
>=0.6-26
r-matrixstats
>=0.8.14
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-gviz
and update with:
conda update bioconductor-gviz
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-gviz:<tag>
(see bioconductor-gviz/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-gviz/README.html)