recipe bioconductor-rnamodr.ml

Detecting patterns of post-transcriptional modifications using machine learning

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/RNAmodR.ML.html

License:

Artistic-2.0

Recipe:

/bioconductor-rnamodr.ml/meta.yaml

RNAmodR.ML extend the functionality of the RNAmodR package and classical detection strategies towards detection through machine learning models. RNAmodR.ML provides classes, functions and an example workflow to establish a detection stratedy, which can be packaged.

package bioconductor-rnamodr.ml

Versions:

1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rnamodr >=1.12.0,<1.13.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• r-base >=4.2,<4.3.0a0

• r-ranger

Required By:

Installation

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

conda install bioconductor-rnamodr.ml

and update with:

conda update bioconductor-rnamodr.ml

or use the docker container:

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

(see bioconductor-rnamodr.ml/tags for valid values for <tag>)

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