Package Recipe 'bioconductor-gloscope'

recipe bioconductor-gloscope

Population-level Representation on scRNA-Seq data

Homepage:: https://bioconductor.org/packages/3.20/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¶

Versions:

2.0.1-0, 1.4.0-0, 1.0.0-0

Depends:

on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on r-base >=4.5,<4.6.0a0
on r-boot
on r-cluster
on r-fnn
on r-ggplot2
on r-mass
on r-mclust
on r-mvnfast
on r-permute
on r-pheatmap
on r-rann
on r-rcolorbrewer
on r-rlang
on r-vegan

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-gloscope

to add into an existing workspace instead, run:

pixi add bioconductor-gloscope

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-gloscope

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-gloscope

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

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

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an 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)