- recipe curves
CURVES+: Conformational analysis of single nucleic acid structures or of molecular dynamics trajectories
- Homepage:
- License:
APACHE / Apache Software License
- Recipe:
Curves+ is a revised version of the Curves approach for analysing the structure of nucleic acids. It respects the international conventions for nucleic acid analysis, runs much faster and provides new data.
- package curves¶
-
- Versions:
3.0.3-1,3.0.3-0,3.0.2-3,3.0.2-2,3.0.2-1,3.0.2-0,3.0.1-0,3.0.0-4,3.0.0-3,3.0.3-1,3.0.3-0,3.0.2-3,3.0.2-2,3.0.2-1,3.0.2-0,3.0.1-0,3.0.0-4,3.0.0-3,3.0.0-2,3.0.0-1,3.0.0-0,2.6.0-0- Depends:
on ambertools
>=22.0on libgcc
>=13on libgfortran
on libgfortran5
>=13.3.0on libnetcdf
>=4.9.2,<4.9.3.0a0on libstdcxx
>=13on netcdf-fortran
>=4.6.1,<4.7.0a0on python_abi
3.9.* *_cp39
- 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 curves
to add into an existing workspace instead, run:
pixi add curves
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 curves
Alternatively, to install into a new environment, run:
conda create -n envname curves
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/curves:<tag>
(see curves/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/curves/README.html)