recipe bioconductor-targetscoredata

TargetScoreData

Homepage:

https://bioconductor.org/packages/3.16/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:
1.33.0-0,  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, 

1.33.0-0,  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:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-targetscoredata

and update with:

conda update bioconductor-targetscoredata

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-targetscoredata:<tag>

(see bioconductor-targetscoredata/tags for valid values for <tag>)

Download stats

Link to this page

Render an install-with-bioconda 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-targetscoredata/README.html)