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Source: cfflib
Section: python
Priority: extra
Maintainer: Debian QA Group <packages@qa.debian.org>
Build-Depends:
debhelper (>= 7.2.18),
dh-python,
python-all,
python-networkx (>= 1.4),
python-nibabel (>= 1.1.0),
python-nose,
python-numpy,
python-sphinx,
Standards-Version: 3.9.6
Homepage: http://cmtk.org/cfflib
Vcs-Git: git://github.com/LTS5/cfflib.git
Vcs-Browser: http://github.com/LTS5/cfflib
X-Python-Version: >= 2.6
Package: python-cfflib
Architecture: all
Depends:
python-lxml,
python-networkx (>= 1.4),
python-nibabel (>= 1.1.0),
python-numpy,
${misc:Depends},
${python:Depends},
Recommends:
python-h5py,
python-nose,
python-sphinx,
python-tables,
Description: Multi-modal connectome and metadata management and integration
The Connectome File Format Library (cfflib) is a Python module for
multi-modal neuroimaging connectome data and metadata management and
integration.
.
It enables single subject and multi-subject data integration for a
variety of modalities, such as networks, surfaces, volumes, fiber
tracks, timeseries, scripts, arbitrary data objects such as
homogeneous arrays or CSV/JSON files. It relies on existing Python
modules and the standard library for basic data I/O, and adds a layer
of metadata annotation as tags or with structured properties to
individual data objects.
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