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Resource Name
RRID:SCR_008312 RRID Copied      
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ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis (RRID:SCR_008312)
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Resource Information

URL: http://connectomics.org/viewer

Proper Citation: ConnectomeViewer: Multi-Modal Multi-Level Network Visualization and Analysis (RRID:SCR_008312)

Description: Extensible, scriptable, pythonic software tool for visualization and analysis in structural neuroimaging research on many spatial scales. Employing the Connectome File Format, diverse data such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The field of Connectomics research benefits from recent advances in structural neuroimaging technologies on all spatial scales. The need for software tools to visualize and analyze the emerging data is urgent. The ConnectomeViewer application was developed to meet the needs of basic and clinical neuroscientists, as well as complex network scientists, providing an integrative, extensible platform to visualize and analyze Connectomics data. With the Connectome File Format, interlinking different datatypes such as hierarchical networks, surface data, volumetric data is easy and might provide new ways of analyzing and interacting with data. Furthermore, ConnectomeViewer readily integrates with: * ConnectomeWiki: a semantic knowledge base representing connectomics data at a mesoscale level across various species, allowing easy access to relevant literature and databases. * ConnectomeDatabase: a repository to store and disseminate Connectome files.

Abbreviations: ConnectomeViewer

Resource Type: software resource, software application, d visualization software, rendering software, network analysis software, data analysis software, data processing software, network graph visualization software, data visualization software

Keywords: extensible, analysis, clinical, data, diverse, metadata, network, neuroscience, neuroscientist, pythonics, research, scriptable, software, structural, surface, technology, tool, track, visualization, volume, neuroimaging

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