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The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit – a set...

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Autores principales: Gerhard, Stephan, Daducci, Alessandro, Lemkaddem, Alia, Meuli, Reto, Thiran, Jean-Philippe, Hagmann, Patric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112315/
https://www.ncbi.nlm.nih.gov/pubmed/21713110
http://dx.doi.org/10.3389/fninf.2011.00003
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author Gerhard, Stephan
Daducci, Alessandro
Lemkaddem, Alia
Meuli, Reto
Thiran, Jean-Philippe
Hagmann, Patric
author_facet Gerhard, Stephan
Daducci, Alessandro
Lemkaddem, Alia
Meuli, Reto
Thiran, Jean-Philippe
Hagmann, Patric
author_sort Gerhard, Stephan
collection PubMed
description Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit – a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/
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spelling pubmed-31123152011-06-27 The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes Gerhard, Stephan Daducci, Alessandro Lemkaddem, Alia Meuli, Reto Thiran, Jean-Philippe Hagmann, Patric Front Neuroinformatics Neuroscience Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit – a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/ Frontiers Research Foundation 2011-06-06 /pmc/articles/PMC3112315/ /pubmed/21713110 http://dx.doi.org/10.3389/fninf.2011.00003 Text en Copyright © 2011 Gerhard, Daducci, Lemkaddem, Meuli, Thiran and Hagmann. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Neuroscience
Gerhard, Stephan
Daducci, Alessandro
Lemkaddem, Alia
Meuli, Reto
Thiran, Jean-Philippe
Hagmann, Patric
The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title_full The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title_fullStr The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title_full_unstemmed The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title_short The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
title_sort connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112315/
https://www.ncbi.nlm.nih.gov/pubmed/21713110
http://dx.doi.org/10.3389/fninf.2011.00003
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