recipe bioconductor-trigger

Transcriptional Regulatory Inference from Genetics of Gene ExpRession

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/trigger.html

License:

GPL-3

Recipe:

/bioconductor-trigger/meta.yaml

Links:

biotools: trigger, doi: 10.1038/nmeth.3252

This R package provides tools for the statistical analysis of integrative genomic data that involve some combination of: genotypes, high-dimensional intermediate traits (e.g., gene expression, protein abundance), and higher-order traits (phenotypes). The package includes functions to: (1) construct global linkage maps between genetic markers and gene expression; (2) analyze multiple-locus linkage (epistasis) for gene expression; (3) quantify the proportion of genome-wide variation explained by each locus and identify eQTL hotspots; (4) estimate pair-wise causal gene regulatory probabilities and construct gene regulatory networks; and (5) identify causal genes for a quantitative trait of interest.

package bioconductor-trigger

(downloads) docker_bioconductor-trigger

Versions:
1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0, 

1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0

Depends:

  • on bioconductor-qvalue >=2.38.0,<2.39.0

  • on bioconductor-qvalue >=2.38.0,<2.39.0a0

  • on bioconductor-sva >=3.54.0,<3.55.0

  • on bioconductor-sva >=3.54.0,<3.55.0a0

  • on libblas >=3.9.0,<4.0a0

  • on libgcc >=13

  • on liblapack >=3.9.0,<4.0a0

  • on r-base >=4.4,<4.5.0a0

  • on r-corpcor

  • on r-qtl

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-trigger

to add into an existing workspace instead, run:

pixi add bioconductor-trigger

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-trigger

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-trigger

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-trigger:<tag>

(see bioconductor-trigger/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 install-with-bioconda 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-trigger/README.html)