recipe bioconductor-islet

Individual-Specific ceLl typE referencing Tool

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-islet/meta.yaml

ISLET is a method to conduct signal deconvolution for general -omics data. It can estimate the individual-specific and cell-type-specific reference panels, when there are multiple samples observed from each subject. It takes the input of the observed mixture data (feature by sample matrix), and the cell type mixture proportions (sample by cell type matrix), and the sample-to-subject information. It can solve for the reference panel on the individual-basis and conduct test to identify cell-type-specific differential expression (csDE) genes. It also improves estimated cell type mixture proportions by integrating personalized reference panels.

package bioconductor-islet

(downloads) docker_bioconductor-islet

Versions:

1.12.0-01.8.0-01.4.0-01.2.0-01.0.0-0

Depends:
  • on bioconductor-biocgenerics >=0.56.0,<0.57.0

  • on bioconductor-biocparallel >=1.44.0,<1.45.0

  • on bioconductor-summarizedexperiment >=1.40.0,<1.41.0

  • on r-abind

  • on r-base >=4.5,<4.6.0a0

  • on r-lme4

  • on r-matrix

  • on r-nnls

  • on r-purrr

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-islet

to add into an existing workspace instead, run:

pixi add bioconductor-islet

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-islet

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-islet

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-islet:<tag>

(see bioconductor-islet/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.

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