recipe bioconductor-targetscoredata

TargetScoreData

Homepage:

https://bioconductor.org/packages/3.20/data/experiment/html/TargetScoreData.html

License:

GPL-2

Recipe:

/bioconductor-targetscoredata/meta.yaml

Precompiled and processed miRNA-overexpression fold-changes from 84 Gene Expression Omnibus (GEO) series corresponding to 6 platforms, 77 human cells or tissues, and 113 distinct miRNAs. Accompanied with the data, we also included in this package the sequence feature scores from TargetScanHuman 6.1 including the context+ score and the probabilities of conserved targeting for each miRNA-mRNA interaction. Thus, the user can use these static sequence-based scores together with user-supplied tissue/cell-specific fold-change due to miRNA overexpression to predict miRNA targets using the package TargetScore (download separately)

package bioconductor-targetscoredata

(downloads) docker_bioconductor-targetscoredata

Versions:
1.46.0-0,  1.42.0-0,  1.38.0-0,  1.36.0-0,  1.33.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-1, 

1.46.0-0,  1.42.0-0,  1.38.0-0,  1.36.0-0,  1.33.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.0-1,  1.20.0-0,  1.18.0-0

Depends:

  • on bioconductor-data-packages >=20260207

  • on curl

  • on r-base >=4.5,<4.6.0a0

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-targetscoredata

to add into an existing workspace instead, run:

pixi add bioconductor-targetscoredata

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-targetscoredata

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-targetscoredata

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-targetscoredata:<tag>

(see bioconductor-targetscoredata/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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