recipe bioconductor-anota

ANalysis Of Translational Activity (ANOTA).

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-anota/meta.yaml

Links:

biotools: anota, doi: 10.1093/bioinformatics/btr146

Genome wide studies of translational control is emerging as a tool to study verious biological conditions. The output from such analysis is both the mRNA level (e.g. cytosolic mRNA level) and the levl of mRNA actively involved in translation (the actively translating mRNA level) for each mRNA. The standard analysis of such data strives towards identifying differential translational between two or more sample classes - i.e. differences in actively translated mRNA levels that are independent of underlying differences in cytosolic mRNA levels. This package allows for such analysis using partial variances and the random variance model. As 10s of thousands of mRNAs are analyzed in parallell the library performs a number of tests to assure that the data set is suitable for such analysis.

package bioconductor-anota

(downloads) docker_bioconductor-anota

versions:
1.54.0-0,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0, 

1.54.0-0,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-0

depends bioconductor-multtest:

>=2.62.0,<2.63.0

depends bioconductor-qvalue:

>=2.38.0,<2.39.0

depends r-base:

>=4.4,<4.5.0a0

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-anota

and update with::

   mamba update bioconductor-anota

To create a new environment, run:

mamba create --name myenvname bioconductor-anota

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-anota:<tag>

(see `bioconductor-anota/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-anota/README.html)