recipe bioconductor-aggregatebiovar

Differential Gene Expression Analysis for Multi-subject scRNA-seq

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-aggregatebiovar/meta.yaml

For single cell RNA-seq data collected from more than one subject (e.g. biological sample or technical replicates), this package contains tools to summarize single cell gene expression profiles at the level of subject. A SingleCellExperiment object is taken as input and converted to a list of SummarizedExperiment objects, where each list element corresponds to an assigned cell type. The SummarizedExperiment objects contain aggregate gene-by-subject count matrices and inter-subject column metadata for individual subjects that can be processed using downstream bulk RNA-seq tools.

package bioconductor-aggregatebiovar

versions:

1.12.0-0,  1.10.0-0,  1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-3,  1.0.0-2

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-matrix:

depends r-rlang:

depends r-tibble:

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-aggregatebiovar

and update with::

   mamba update bioconductor-aggregatebiovar

To create a new environment, run:

mamba create --name myenvname bioconductor-aggregatebiovar

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-aggregatebiovar:<tag>

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

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