recipe bioconductor-risa

Converting experimental metadata from ISA-tab into Bioconductor data structures

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Risa.html

License:

LGPL

Recipe:

/bioconductor-risa/meta.yaml

Links:

biotools: risa

The Investigation / Study / Assay (ISA) tab-delimited format is a general purpose framework with which to collect and communicate complex metadata (i.e. sample characteristics, technologies used, type of measurements made) from experiments employing a combination of technologies, spanning from traditional approaches to high-throughput techniques. Risa allows to access metadata/data in ISA-Tab format and build Bioconductor data structures. Currently, data generated from microarray, flow cytometry and metabolomics-based (i.e. mass spectrometry) assays are supported. The package is extendable and efforts are undergoing to support metadata associated to proteomics assays.

package bioconductor-risa

(downloads) docker_bioconductor-risa

versions:
1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.36.0-2,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-1, 

1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.36.0-2,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.24.0-0,  1.20.0-0,  1.18.0-0

depends bioconductor-affy:

>=1.80.0,<1.81.0

depends bioconductor-affy:

>=1.80.0,<1.81.0a0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0a0

depends bioconductor-biocviews:

>=1.70.0,<1.71.0

depends bioconductor-biocviews:

>=1.70.0,<1.71.0a0

depends bioconductor-xcms:

>=4.0.0,<4.1.0

depends bioconductor-xcms:

>=4.0.0,<4.1.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-rcpp:

>=0.9.13

requirements:

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-risa

and update with::

   mamba update bioconductor-risa

To create a new environment, run:

mamba create --name myenvname bioconductor-risa

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-risa:<tag>

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

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-risa/README.html)