recipe bioconductor-sseq

Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size



GPL (>= 3)




biotools: sseq, doi: 10.1093/bioinformatics/btt143

The purpose of this package is to discover the genes that are differentially expressed between two conditions in RNA-seq experiments. Gene expression is measured in counts of transcripts and modeled with the Negative Binomial (NB) distribution using a shrinkage approach for dispersion estimation. The method of moment (MM) estimates for dispersion are shrunk towards an estimated target, which minimizes the average squared difference between the shrinkage estimates and the initial estimates. The exact per-gene probability under the NB model is calculated, and used to test the hypothesis that the expected expression of a gene in two conditions identically follow a NB distribution.

package bioconductor-sseq

(downloads) docker_bioconductor-sseq



depends r-base:


depends r-catools:

depends r-rcolorbrewer:



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-sseq

and update with::

   mamba update bioconductor-sseq

To create a new environment, run:

mamba create --name myenvname bioconductor-sseq

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<tag>

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

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