Package Recipe 'bioconductor-tfhaz'

recipe bioconductor-tfhaz

Transcription Factor High Accumulation Zones

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

It finds trascription factor (TF) high accumulation DNA zones, i.e., regions along the genome where there is a high presence of different transcription factors. Starting from a dataset containing the genomic positions of TF binding regions, for each base of the selected chromosome the accumulation of TFs is computed. Three different types of accumulation (TF, region and base accumulation) are available, together with the possibility of considering, in the single base accumulation computing, the TFs present not only in that single base, but also in its neighborhood, within a window of a given width. Two different methods for the search of TF high accumulation DNA zones, called "binding regions" and "overlaps", are available. In addition, some functions are provided in order to analyze, visualize and compare results obtained with different input parameters.

package bioconductor-tfhaz¶

Versions:

1.32.0-0, 1.28.0-0, 1.24.0-0, 1.22.0-0, 1.20.0-0, 1.16.0-0, 1.14.0-0, 1.12.0-1, 1.12.0-0,

1.32.0-0, 1.28.0-0, 1.24.0-0, 1.22.0-0, 1.20.0-0, 1.16.0-0, 1.14.0-0, 1.12.0-1, 1.12.0-0, 1.10.0-0, 1.8.0-0, 1.6.0-1, 1.4.0-0

Depends:

on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-orfik >=1.30.0,<1.31.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on r-base >=4.5,<4.6.0a0

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-tfhaz

to add into an existing workspace instead, run:

pixi add bioconductor-tfhaz

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-tfhaz

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-tfhaz

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-tfhaz:<tag>

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