- recipe bioconductor-demuxmix
Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/demuxmix.html
- License:
Artistic-2.0
- Recipe:
A package for demultiplexing single-cell sequencing experiments of pooled cells labeled with barcode oligonucleotides. The package implements methods to fit regression mixture models for a probabilistic classification of cells, including multiplet detection. Demultiplexing error rates can be estimated, and methods for quality control are provided.
- package bioconductor-demuxmix¶
-
- Versions:
1.12.0-0,1.8.0-0,1.4.0-0,1.2.0-0,1.0.0-0- Depends:
on r-base
>=4.5,<4.6.0a0on r-ggplot2
on r-gridextra
on r-mass
on r-matrix
- 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-demuxmix
to add into an existing workspace instead, run:
pixi add bioconductor-demuxmix
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-demuxmix
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-demuxmix
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-demuxmix:<tag>
(see bioconductor-demuxmix/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:
[](http://bioconda.github.io/recipes/bioconductor-demuxmix/README.html)