- recipe kinsimriboswitch
Pipeline for the simulation of RNA--ligand interaction kinetics as outlined in Kuehnl et al. 2017, https://doi.org/10.1186/s12859-017-1823-5
- Homepage:
- License:
GPLv3
- Recipe:
- package kinsimriboswitch¶
- Versions:
0.3-3,0.3-2,0.3-1,0.3-0- Depends:
on coreutils
on gmp
>=6.2.1,<7.0a0on libgcc-ng
>=9.3.0on libstdcxx-ng
>=9.3.0on perl
>=5.26.2,<5.26.3.0a0on perl-clone
on perl-devel-assert
on perl-file-slurp
on perl-heap
on perl-inline
on perl-inline-c
on perl-ipc-system-simple
on perl-list-moreutils
on perl-math-random-mt-auto
on perl-math-round
on perl-parallel-loops
on perl-parse-recdescent
on perl-sys-info
on r
on r-argparser
on r-rcolorbrewer
on treekin
on viennarna
>=2.4.17,<2.5.0a0
- 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 kinsimriboswitch
to add into an existing workspace instead, run:
pixi add kinsimriboswitch
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 kinsimriboswitch
Alternatively, to install into a new environment, run:
conda create -n envname kinsimriboswitch
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/kinsimriboswitch:<tag>
(see kinsimriboswitch/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/kinsimriboswitch/README.html)
