recipe bioconductor-anota

ANalysis Of Translational Activity (ANOTA).

Homepage:

https://bioconductor.org/packages/3.20/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:
1.58.0-0,  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, 

1.58.0-0,  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:

  • on bioconductor-multtest >=2.66.0,<2.67.0

  • on bioconductor-qvalue >=2.42.0,<2.43.0

  • on r-base >=4.5,<4.6.0a0

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-anota

to add into an existing workspace instead, run:

pixi add bioconductor-anota

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-anota

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-anota

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-anota:<tag>

(see bioconductor-anota/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.

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