Package Recipe 'bioconductor-splicinggraphs'

recipe bioconductor-splicinggraphs

Create, manipulate, visualize splicing graphs, and assign RNA-seq reads to them

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/SplicingGraphs.html
License:: Artistic-2.0
Recipe:: /bioconductor-splicinggraphs/meta.yaml
Links:: biotools: splicinggraphs, doi: 10.1093/bioinformatics/18.suppl_1.s181

This package allows the user to create, manipulate, and visualize splicing graphs and their bubbles based on a gene model for a given organism. Additionally it allows the user to assign RNA-seq reads to the edges of a set of splicing graphs, and to summarize them in different ways.

package bioconductor-splicinggraphs¶

Versions:

1.50.1-0, 1.46.0-0, 1.42.0-0, 1.40.0-0, 1.38.0-0, 1.34.0-0, 1.32.0-0, 1.30.0-1, 1.30.0-0,

1.50.1-0, 1.46.0-0, 1.42.0-0, 1.40.0-0, 1.38.0-0, 1.34.0-0, 1.32.0-0, 1.30.0-1, 1.30.0-0, 1.28.0-0, 1.25.0-0, 1.24.0-1, 1.22.1-0, 1.20.0-0, 1.18.0-0

Depends:

on bioconductor-biocgenerics >=0.56.0,<0.57.0
on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-genomicalignments >=1.46.0,<1.47.0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-graph >=1.88.0,<1.89.0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-rgraphviz >=2.54.0,<2.55.0
on bioconductor-rsamtools >=2.26.0,<2.27.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-seqinfo >=1.0.0,<1.1.0
on r-base >=4.5,<4.6.0a0
on r-igraph

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-splicinggraphs

to add into an existing workspace instead, run:

pixi add bioconductor-splicinggraphs

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-splicinggraphs

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-splicinggraphs

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-splicinggraphs:<tag>

(see bioconductor-splicinggraphs/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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-splicinggraphs/README.html)