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python-cfflib

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.

Homepage:
Package version:2.0.5-1
Architecture:all
Distribution:Debian
Filename:python-cfflib_2.0.5-1_all.deb

/usr/share/doc/python-cfflib/changelog.Debian.gz

cfflib (2.0.5-1) unstable; urgency=low

  * Initial release (Closes: #624456).

 -- Stephan Gerhard <debian@unidesign.ch>  Thu, 28 Apr 2011 10:49:57 +0200

/usr/share/doc/python-cfflib/copyright

Format-Specification: http://svn.debian.org/wsvn/dep/web/deps/dep5.mdwn?op=file&rev=173
Upstream-Name: cfflib
Upstream-Contact: Stephan Gerhard <debian@unidesign.ch>
Source: http://github.com/LTS5/cfflib


Files: *
Copyright: 2009-2011, Ecole Polytechnique Fédérale de Lausanne (EPFL) and
                      Hospital Center and University of Lausanne (UNIL-CHUV), Switzerland
License: BSD-3
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