- recipe bioconductor-repviz
Replicate oriented Visualization of a genomic region
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/RepViz.html
- License:
GPL-3
- Recipe:
RepViz enables the view of a genomic region in a simple and efficient way. RepViz allows simultaneous viewing of both intra- and intergroup variation in sequencing counts of the studied conditions, as well as their comparison to the output features (e.g. identified peaks) from user selected data analysis methods.The RepViz tool is primarily designed for chromatin data such as ChIP-seq and ATAC-seq, but can also be used with other sequencing data such as RNA-seq, or combinations of different types of genomic data.
- package bioconductor-repviz¶
- versions:
1.18.0-0
,1.16.0-0
,1.14.0-0
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
- depends bioconductor-biomart:
>=2.58.0,<2.59.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends bioconductor-rsamtools:
>=2.18.0,<2.19.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends r-base:
>=4.3,<4.4.0a0
- requirements:
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-repviz and update with:: mamba update bioconductor-repviz
To create a new environment, run:
mamba create --name myenvname bioconductor-repviz
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-repviz:<tag> (see `bioconductor-repviz/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-repviz/README.html)