recipe bioconductor-rnamodr.alkanilineseq

Detection of m7G, m3C and D modification by AlkAnilineSeq

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/RNAmodR.AlkAnilineSeq.html

License:

Artistic-2.0

Recipe:

/bioconductor-rnamodr.alkanilineseq/meta.yaml

RNAmodR.AlkAnilineSeq implements the detection of m7G, m3C and D modifications on RNA from experimental data generated with the AlkAnilineSeq protocol. The package builds on the core functionality of the RNAmodR package to detect specific patterns of the modifications in high throughput sequencing data.

package bioconductor-rnamodr.alkanilineseq

versions:

1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0, 

1.20.0-0,  1.16.0-0,  1.14.0-0,  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:

>=0.52.0,<0.53.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-gviz:

>=1.50.0,<1.51.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-rnamodr:

>=1.20.0,<1.21.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-rnamodr.alkanilineseq

and update with::

   mamba update bioconductor-rnamodr.alkanilineseq

To create a new environment, run:

mamba create --name myenvname bioconductor-rnamodr.alkanilineseq

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-rnamodr.alkanilineseq/tags`_ for valid values for ``<tag>``)

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