- recipe bioconductor-vplotr
Set of tools to make V-plots and compute footprint profiles
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/VplotR.html
- License:
GPL (>= 3)
- Recipe:
The pattern of digestion and protection from DNA nucleases such as DNAse I, micrococcal nuclease, and Tn5 transposase can be used to infer the location of associated proteins. This package contains useful functions to analyze patterns of paired-end sequencing fragment density. VplotR facilitates the generation of V-plots and footprint profiles over single or aggregated genomic loci of interest.
- package bioconductor-vplotr¶
-
- Versions:
1.20.0-0,1.16.0-0,1.12.1-0,1.10.0-0,1.8.0-0,1.4.0-0,1.2.0-0,1.0.0-1,1.0.0-0- Depends:
on bioconductor-genomeinfodb
>=1.46.0,<1.47.0on bioconductor-genomicalignments
>=1.46.0,<1.47.0on bioconductor-genomicranges
>=1.62.0,<1.63.0on bioconductor-iranges
>=2.44.0,<2.45.0on bioconductor-rsamtools
>=2.26.0,<2.27.0on bioconductor-s4vectors
>=0.48.0,<0.49.0on bioconductor-seqinfo
>=1.0.0,<1.1.0on r-base
>=4.5,<4.6.0a0on r-cowplot
on r-ggplot2
on r-magrittr
on r-rcolorbrewer
on r-reshape2
on r-zoo
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-vplotr
to add into an existing workspace instead, run:
pixi add bioconductor-vplotr
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-vplotr
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-vplotr
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-vplotr:<tag>
(see bioconductor-vplotr/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-vplotr/README.html)