recipe bioconductor-multistateqtl

Toolkit for the analysis of multi-state QTL data

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-multistateqtl/meta.yaml

A collection of tools for doing various analyses of multi-state QTL data, with a focus on visualization and interpretation. The package 'multistateQTL' contains functions which can remove or impute missing data, identify significant associations, as well as categorise features into global, multi-state or unique. The analysis results are stored in a 'QTLExperiment' object, which is based on the 'SummarisedExperiment' framework.

package bioconductor-multistateqtl

versions:

1.2.0-0

depends bioconductor-complexheatmap:

>=2.22.0,<2.23.0

depends bioconductor-qtlexperiment:

>=1.4.0,<1.5.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends r-base:

>=4.4,<4.5.0a0

depends r-circlize:

depends r-collapse:

depends r-data.table:

depends r-dplyr:

depends r-fitdistrplus:

depends r-ggplot2:

depends r-mashr:

depends r-matrixstats:

depends r-tidyr:

depends r-viridis:

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-multistateqtl

and update with::

   mamba update bioconductor-multistateqtl

To create a new environment, run:

mamba create --name myenvname bioconductor-multistateqtl

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-multistateqtl:<tag>

(see `bioconductor-multistateqtl/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

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