recipe bioconductor-zinbwave

Zero-Inflated Negative Binomial Model for RNA-Seq Data

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/zinbwave.html

License:

Artistic-2.0

Recipe:

/bioconductor-zinbwave/meta.yaml

Links:

biotools: zinbwave, doi: 10.1038/s41467-017-02554-5

Implements a general and flexible zero-inflated negative binomial model that can be used to provide a low-dimensional representations of single-cell RNA-seq data. The model accounts for zero inflation (dropouts), over-dispersion, and the count nature of the data. The model also accounts for the difference in library sizes and optionally for batch effects and/or other covariates, avoiding the need for pre-normalize the data.

package bioconductor-zinbwave

(downloads) docker_bioconductor-zinbwave

Versions:
1.32.0-01.28.0-01.24.0-01.22.0-01.20.0-01.16.0-01.14.1-01.12.0-11.12.0-0

1.32.0-01.28.0-01.24.0-01.22.0-01.20.0-01.16.0-01.14.1-01.12.0-11.12.0-01.10.0-01.8.0-01.6.0-11.4.0-01.2.0-01.0.0-0

Depends:
  • on bioconductor-biocparallel >=1.44.0,<1.45.0

  • on bioconductor-edger >=4.8.0,<4.9.0

  • on bioconductor-genefilter >=1.92.0,<1.93.0

  • on bioconductor-singlecellexperiment >=1.32.0,<1.33.0

  • on bioconductor-summarizedexperiment >=1.40.0,<1.41.0

  • on r-base >=4.5,<4.6.0a0

  • on r-matrix

  • on r-softimpute

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-zinbwave

to add into an existing workspace instead, run:

pixi add bioconductor-zinbwave

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-zinbwave

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-zinbwave

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-zinbwave:<tag>

(see bioconductor-zinbwave/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