Package Recipe 'bioconductor-regutools'

recipe bioconductor-regutools

regutools: an R package for data extraction from RegulonDB

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/regutools.html
License:: Artistic-2.0
Recipe:: /bioconductor-regutools/meta.yaml

RegulonDB has collected, harmonized and centralized data from hundreds of experiments for nearly two decades and is considered a point of reference for transcriptional regulation in Escherichia coli K12. Here, we present the regutools R package to facilitate programmatic access to RegulonDB data in computational biology. regutools provides researchers with the possibility of writing reproducible workflows with automated queries to RegulonDB. The regutools package serves as a bridge between RegulonDB data and the Bioconductor ecosystem by reusing the data structures and statistical methods powered by other Bioconductor packages. We demonstrate the integration of regutools with Bioconductor by analyzing transcription factor DNA binding sites and transcriptional regulatory networks from RegulonDB. We anticipate that regutools will serve as a useful building block in our progress to further our understanding of gene regulatory networks.

package bioconductor-regutools¶

Versions:

1.22.0-0, 1.18.0-0, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.6.0-0, 1.4.0-0, 1.2.3-0, 1.2.0-0,

1.22.0-0, 1.18.0-0, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.6.0-0, 1.4.0-0, 1.2.3-0, 1.2.0-0, 1.0.1-0

Depends:

on bioconductor-annotationdbi >=1.72.0,<1.73.0
on bioconductor-annotationhub >=4.0.0,<4.1.0
on bioconductor-biocfilecache >=3.0.0,<3.1.0
on bioconductor-biostrings >=2.78.0,<2.79.0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-gviz >=1.54.0,<1.55.0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-rcy3 >=2.30.0,<2.31.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on r-base >=4.5,<4.6.0a0
on r-dbi
on r-rsqlite

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-regutools

to add into an existing workspace instead, run:

pixi add bioconductor-regutools

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-regutools

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-regutools

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-regutools:<tag>

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