recipe meta-neuro

Medial Tractography Analysis (MeTA)

Homepage:

https://github.com/bagari/meta

Documentation:

https://github.com/bagari/meta/wiki

License:

BSD-3-Clause

Recipe:

/meta-neuro/meta.yaml

MeTA is a workflow implemented to minimize microstructural heterogeneity in diffusion MRI (dMRI) metrics by extracting and parcellating the core volume along the bundle length in the voxel-space directly while effectively preserving bundle shape and efficiently capturing the regional variation within and along white matter (WM) bundles.

package meta-neuro

versions:

1.0.0-1,  1.0.0-0

depends dipy:

depends hdf5:

>=1.14.2,<1.14.3.0a0

depends libboost:

>=1.82.0,<1.83.0a0

depends libboost-python:

>=1.82.0,<1.83.0a0

depends libboost-python-devel:

>=1.82.0,<1.83.0

depends libgcc:

>=13

depends libitk-devel:

5.3.0

depends libstdcxx:

>=13

depends nibabel:

depends numpy:

depends pandas:

depends pip:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends pyvista:

depends qhull:

depends scipy:

depends setuptools:

depends tqdm:

depends tslearn:

depends vtk:

>=9.2.6,<9.3.0build *osmesa*

depends vtk-base:

>=9.2.6,<9.2.7.0a0

requirements:

additional platforms:

osx-arm64

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 meta-neuro

and update with::

   mamba update meta-neuro

To create a new environment, run:

mamba create --name myenvname meta-neuro

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/meta-neuro:<tag>

(see `meta-neuro/tags`_ for valid values for ``<tag>``)

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