Package Recipe 'bioconductor-scbubbletree'

recipe bioconductor-scbubbletree

Quantitative visual exploration of scRNA-seq data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/scBubbletree.html
License:: GPL-3 + file LICENSE
Recipe:: /bioconductor-scbubbletree/meta.yaml

scBubbletree is a quantitative method for the visual exploration of scRNA-seq data, preserving key biological properties such as local and global cell distances and cell density distributions across samples. It effectively resolves overplotting and enables the visualization of diverse cell attributes from multiomic single-cell experiments. Additionally, scBubbletree is user-friendly and integrates seamlessly with popular scRNA-seq analysis tools, facilitating comprehensive and intuitive data interpretation.

package bioconductor-scbubbletree¶

Versions:

1.12.0-0, 1.8.0-0, 1.4.0-0, 1.2.0-0, 1.0.0-0

Depends:

on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-ggtree >=4.0.0,<4.1.0
on r-ape
on r-base >=4.5,<4.6.0a0
on r-dplyr
on r-ggplot2
on r-patchwork
on r-proxy
on r-reshape2
on r-scales
on r-seurat

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-scbubbletree

to add into an existing workspace instead, run:

pixi add bioconductor-scbubbletree

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-scbubbletree

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-scbubbletree

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-scbubbletree:<tag>

(see bioconductor-scbubbletree/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-scbubbletree/README.html)