recipe bioconductor-gloscope

Population-level Representation on scRNA-Seq data






This package aims at representing and summarizing the entire single-cell profile of a sample. It allows researchers to perform important bioinformatic analyses at the sample-level such as visualization and quality control. The main functions Estimate sample distribution and calculate statistical divergence among samples, and visualize the distance matrix through MDS plots.

package bioconductor-gloscope

(downloads) docker_bioconductor-gloscope



depends bioconductor-biocparallel:


depends bioconductor-singlecellexperiment:


depends r-base:


depends r-fnn:

depends r-ggplot2:

depends r-mass:

depends r-mclust:

depends r-mvnfast:

depends r-rann:

depends r-rlang:



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-gloscope

and update with::

   mamba update bioconductor-gloscope

To create a new environment, run:

mamba create --name myenvname bioconductor-gloscope

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-gloscope/tags`_ for valid values for ``<tag>``)

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