Package Recipe 'bioconductor-decontx'

recipe bioconductor-decontx

Decontamination of single cell genomics data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/decontX.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-decontx/meta.yaml

This package contains implementation of DecontX (Yang et al. 2020), a decontamination algorithm for single-cell RNA-seq, and DecontPro (Yin et al. 2023), a decontamination algorithm for single cell protein expression data. DecontX is a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. DecontPro is a Bayesian method that estimates the level of contamination from ambient and background sources in CITE-seq ADT dataset and decontaminate the dataset.

package bioconductor-decontx¶

Versions:

1.8.0-0, 1.4.0-0, 1.0.0-0

Depends:

on bioconductor-celda >=1.26.0,<1.27.0
on bioconductor-celda >=1.26.0,<1.27.0a0
on bioconductor-delayedarray >=0.36.0,<0.37.0
on bioconductor-delayedarray >=0.36.0,<0.37.0a0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-s4vectors >=0.48.0,<0.49.0a0
on bioconductor-scater >=1.38.0,<1.39.0
on bioconductor-scater >=1.38.0,<1.39.0a0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0
on bioconductor-singlecellexperiment >=1.32.0,<1.33.0a0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0a0
on libblas >=3.9.0,<4.0a0
on libgcc >=14
on liblapack >=3.9.0,<4.0a0
on liblzma >=5.8.2,<6.0a0
on libstdcxx >=14
on libzlib >=1.3.1,<2.0a0
on r-base >=4.5,<4.6.0a0
on r-bh >=1.66.0
on r-dbscan
on r-ggplot2
on r-matrix >=1.5.3
on r-mcmcprecision
on r-patchwork
on r-plyr
on r-rcpp >=0.12.0
on r-rcppeigen >=0.3.3.3.0
on r-rcppparallel >=5.0.1
on r-reshape2
on r-rstan >=2.18.1
on r-rstantools >=2.2.0
on r-seurat
on r-stanheaders >=2.18.0
on r-withr
on tbb-devel >=2022.3.0,<2022.4.0a0

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-decontx

to add into an existing workspace instead, run:

pixi add bioconductor-decontx

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-decontx

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-decontx

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-decontx:<tag>

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