Package Recipe 'ucsc-bigwigaverageoverbed'

recipe ucsc-bigwigaverageoverbed

Compute average score of big wig over each bed, which may have introns.

Homepage:: https://hgdownload.cse.ucsc.edu/admin/exe
Documentation:: https://github.com/ucscGenomeBrowser/kent/blob/v482_base/README
Developer docs:: https://github.com/ucscGenomeBrowser/kent
License:: Varies; see https://genome.ucsc.edu/license
Recipe:: /ucsc-bigwigaverageoverbed/meta.yaml
Links:: biotools: UCSC_Genome_Browser_Utilities, doi: 10.1093/bib/bbs038

package ucsc-bigwigaverageoverbed¶

Versions:

482-0, 469-1, 469-0, 465-0, 377-3, 377-2, 377-1, 377-0, 366-0,

482-0, 469-1, 469-0, 465-0, 377-3, 377-2, 377-1, 377-0, 366-0, 357-1, 357-0, 332-0, 324-0

Depends:

on bzip2 >=1.0.8,<2.0a0
on libgcc >=13
on libiconv >=1.18,<2.0a0
on liblzma >=5.8.1,<6.0a0
on libopenssl-static
on libpng >=1.6.49,<1.7.0a0
on libstdcxx >=13
on libuuid >=2.38.1,<3.0a0
on libzlib >=1.3.1,<2.0a0
on mysql-connector-c >=6.1.11,<6.1.12.0a0

Additional platforms:

linux-aarch64, osx-arm64

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 ucsc-bigwigaverageoverbed

to add into an existing workspace instead, run:

pixi add ucsc-bigwigaverageoverbed

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 ucsc-bigwigaverageoverbed

Alternatively, to install into a new environment, run:

conda create -n envname ucsc-bigwigaverageoverbed

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/ucsc-bigwigaverageoverbed:<tag>

(see ucsc-bigwigaverageoverbed/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/ucsc-bigwigaverageoverbed/README.html)