recipe bioconductor-tweedeseq

RNA-seq data analysis using the Poisson-Tweedie family of distributions

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-tweedeseq/meta.yaml

Links:

biotools: tweedeseq

Differential expression analysis of RNA-seq using the Poisson-Tweedie (PT) family of distributions. PT distributions are described by a mean, a dispersion and a shape parameter and include Poisson and NB distributions, among others, as particular cases. An important feature of this family is that, while the Negative Binomial (NB) distribution only allows a quadratic mean-variance relationship, the PT distributions generalizes this relationship to any orde.

package bioconductor-tweedeseq

versions:

1.52.0-1,  1.52.0-0,  1.48.0-0,  1.45.0-0,  1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0, 

1.52.0-1,  1.52.0-0,  1.48.0-0,  1.45.0-0,  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,  1.30.0-0,  1.28.1-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-0

depends bioconductor-cqn:

>=1.52.0,<1.53.0

depends bioconductor-cqn:

>=1.52.0,<1.53.0a0

depends bioconductor-edger:

>=4.4.0,<4.5.0

depends bioconductor-edger:

>=4.4.0,<4.5.0a0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends bioconductor-limma:

>=3.62.1,<3.63.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-mass:

depends r-rcpp:

>=1.0.10

requirements:

additional platforms:

linux-aarch64

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-tweedeseq

and update with::

   mamba update bioconductor-tweedeseq

To create a new environment, run:

mamba create --name myenvname bioconductor-tweedeseq

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-tweedeseq:<tag>

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

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