- recipe bioconductor-trigger
Transcriptional Regulatory Inference from Genetics of Gene ExpRession
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/trigger.html
- License:
GPL-3
- Recipe:
- 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¶
- versions:
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
,1.48.0-0
,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 bioconductor-qvalue:
>=2.34.0,<2.35.0
- depends bioconductor-qvalue:
>=2.34.0,<2.35.0a0
- depends bioconductor-sva:
>=3.50.0,<3.51.0
- depends bioconductor-sva:
>=3.50.0,<3.51.0a0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc-ng:
>=12
- depends liblapack:
>=3.9.0,<4.0a0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-corpcor:
- depends r-qtl:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-trigger and update with:: mamba update bioconductor-trigger
To create a new environment, run:
mamba create --name myenvname bioconductor-trigger
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-trigger:<tag> (see `bioconductor-trigger/tags`_ for valid values for ``<tag>``)
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-trigger/README.html)