Package Recipe 'bioconductor-partcnv'

recipe bioconductor-partcnv

Infer locally aneuploid cells using single cell RNA-seq data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/partCNV.html
License:: GPL-2
Recipe:: /bioconductor-partcnv/meta.yaml

This package uses a statistical framework for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. Our method uses an EM algorithm with mixtures of Poisson distributions while incorporating cytogenetics information (e.g., regional deletion or amplification) to guide the classification (partCNV). When applicable, we further improve the accuracy by integrating a Hidden Markov Model for feature selection (partCNVH).

package bioconductor-partcnv¶

Versions:

1.8.0-0, 1.4.0-0, 1.0.0-0

Depends:

on bioconductor-annotationhub >=4.0.0,<4.1.0
on bioconductor-biocstyle >=2.38.0,<2.39.0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on r-base >=4.5,<4.6.0a0
on r-data.table
on r-depmixs4
on r-magrittr
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-partcnv

to add into an existing workspace instead, run:

pixi add bioconductor-partcnv

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-partcnv

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-partcnv

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-partcnv:<tag>

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