Package Recipe 'bioconductor-hicool'

recipe bioconductor-hicool

HiCool

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/HiCool.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-hicool/meta.yaml

HiCool provides an R interface to process and normalize Hi-C paired-end fastq reads into .(m)cool files. .(m)cool is a compact, indexed HDF5 file format specifically tailored for efficiently storing HiC-based data. On top of processing fastq reads, HiCool provides a convenient reporting function to generate shareable reports summarizing Hi-C experiments and including quality controls.

package bioconductor-hicool¶

Versions:

1.6.0-0, 1.2.0-0, 1.0.0-0

Depends:

on bioconductor-basilisk >=1.18.0,<1.19.0
on bioconductor-biocio >=1.16.0,<1.17.0
on bioconductor-genomicranges >=1.58.0,<1.59.0
on bioconductor-hicexperiment >=1.6.0,<1.7.0
on bioconductor-interactionset >=1.34.0,<1.35.0
on bioconductor-iranges >=2.40.0,<2.41.0
on bioconductor-s4vectors >=0.44.0,<0.45.0
on r-base >=4.4,<4.5.0a0
on r-dplyr
on r-plotly
on r-reticulate
on r-rmarkdown
on r-rmdformats
on r-sessioninfo
on r-stringr
on r-vroom

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-hicool

to add into an existing workspace instead, run:

pixi add bioconductor-hicool

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-hicool

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-hicool

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-hicool:<tag>

(see bioconductor-hicool/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-hicool/README.html)