- 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:
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
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rnamodr.ml/README.html)