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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
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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/ |
format | Online Article Text |
id | pubmed-3112315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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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