- recipe bioconductor-rfarm
An R interface to the Rfam database
- Homepage:
- License:
GPL-3
- Recipe:
rfaRm provides a client interface to the Rfam database of RNA families. Data that can be retrieved include RNA families, secondary structure images, covariance models, sequences within each family, alignments leading to the identification of a family and secondary structures in the dot-bracket format.
- package bioconductor-rfarm¶
-
- Versions:
1.22.0-0,1.14.0-0,1.11.2-0,1.10.0-0,1.6.0-0,1.4.0-0,1.2.1-0,1.2.0-0,1.0.0-0- Depends:
on bioconductor-biostrings
>=2.78.0,<2.79.0on bioconductor-iranges
>=2.44.0,<2.45.0on bioconductor-s4vectors
>=0.48.0,<0.49.0on r-base
>=4.5,<4.6.0a0on r-data.table
on r-httr
on r-jsonlite
on r-magick
on r-rsvg
on r-rvest
on r-stringi
on r-xml2
- 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-rfarm
to add into an existing workspace instead, run:
pixi add bioconductor-rfarm
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-rfarm
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-rfarm
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-rfarm:<tag>
(see bioconductor-rfarm/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.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rfarm/README.html)