recipe bioconductor-gloscope

Population-level Representation on scRNA-Seq data

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-gloscope/meta.yaml

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

versions:

1.0.0-0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends r-base:

>=4.3,<4.4.0a0

depends r-fnn:

depends r-ggplot2:

depends r-mass:

depends r-mclust:

depends r-mvnfast:

depends r-rann:

depends r-rlang:

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-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 quay.io/biocontainers/bioconductor-gloscope:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-gloscope/README.html)