- recipe bioconductor-genomicdistributions
GenomicDistributions: fast analysis of genomic intervals with Bioconductor
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/GenomicDistributions.html
- License:
BSD_2_clause + file LICENSE
- Recipe:
If you have a set of genomic ranges, this package can help you with visualization and comparison. It produces several kinds of plots, for example: Chromosome distribution plots, which visualize how your regions are distributed over chromosomes; feature distance distribution plots, which visualizes how your regions are distributed relative to a feature of interest, like Transcription Start Sites (TSSs); genomic partition plots, which visualize how your regions overlap given genomic features such as promoters, introns, exons, or intergenic regions. It also makes it easy to compare one set of ranges to another.
- package bioconductor-genomicdistributions¶
- versions:
1.10.0-0
,1.8.0-0
,1.6.0-0
,1.2.0-0
,1.0.0-0
- depends bioconductor-biostrings:
>=2.70.0,<2.71.0
- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-broom:
- depends r-data.table:
- depends r-dplyr:
- depends r-ggplot2:
- depends r-plyr:
- depends r-reshape2:
- depends r-scales:
- 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-genomicdistributions and update with:: mamba update bioconductor-genomicdistributions
To create a new environment, run:
mamba create --name myenvname bioconductor-genomicdistributions
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-genomicdistributions:<tag> (see `bioconductor-genomicdistributions/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-genomicdistributions/README.html)