recipe connectome-workbench

Connectome Workbench is an open source, freely available visualization and discovery tool used to map neuroimaging data, especially data generated by the Human Connectome Project

Homepage:

https://www.humanconnectome.org/software/connectome-workbench

Developer docs:

https://github.com/Washington-University/workbench

License:

GPL / GPL-2.0

Recipe:

/connectome-workbench/meta.yaml

package connectome-workbench

(downloads) docker_connectome-workbench

versions:

1.3.2-01.3.1-11.3.1-0

depends freetype:

>=2.9.1,<3.0a0

depends libgcc-ng:

>=4.9

depends libglu:

depends libpng:

>=1.6.34,<1.7.0a0

depends libstdcxx-ng:

>=4.9

depends mesa:

depends openmp:

depends openssl:

>=1.0.2p,<1.0.3a

depends qt:

>=5.9.6,<5.10.0a0

depends xorg-libx11:

depends xorg-libxau:

depends xorg-libxcb:

depends xorg-libxdmcp:

depends xorg-libxext:

depends xorg-libxfixes:

depends zlib:

>=1.2.11,<1.3.0a0

requirements:

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 connectome-workbench

and update with::

   mamba update connectome-workbench

To create a new environment, run:

mamba create --name myenvname connectome-workbench

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/connectome-workbench:<tag>

(see `connectome-workbench/tags`_ for valid values for ``<tag>``)

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