recipe hippunfold

This tool aims to automatically model the topological folding structure of the human hippocampus, and computationally unfold it.

Homepage:

https://github.com/khanlab/hippunfold

License:

MIT

Recipe:

/hippunfold/meta.yaml

This tool aims to automatically model the topological folding structure of the human hippocampus, and computationally unfold it.

package hippunfold

versions:

2.0.0-0

depends appdirs:

>=1.4.4,<2.0.0

depends jinja2:

>=3.0.3,<4.0.0

depends nibabel:

>=5.3.2,<6.0.0

depends pandas:

>=2.1.1

depends pygments:

>=2.10.0,<3.0.0

depends pygraphviz:

depends python:

>=3.9,<4.0

depends pyvista:

>=0.44.2,<0.45.0

depends snakebids:

>=0.14.0

depends snakemake:

>=8.1.2

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 hippunfold

and update with::

   mamba update hippunfold

To create a new environment, run:

mamba create --name myenvname hippunfold

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/hippunfold:<tag>

(see `hippunfold/tags`_ for valid values for ``<tag>``)

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