Ontology type: schema:ScholarlyArticle Open Access: True
2012-12
AUTHORSHendrik Rohn, Astrid Junker, Anja Hartmann, Eva Grafahrend-Belau, Hendrik Treutler, Matthias Klapperstück, Tobias Czauderna, Christian Klukas, Falk Schreiber
ABSTRACTBACKGROUND: Experimental datasets are becoming larger and increasingly complex, spanning different data domains, thereby expanding the requirements for respective tool support for their analysis. Networks provide a basis for the integration, analysis and visualization of multi-omics experimental datasets. RESULTS: Here we present VANTED (version 2), a framework for systems biology applications, which comprises a comprehensive set of seven main tasks. These range from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange. The offered set of functionalities is instantiated by combining several tasks in order to enable users to view and explore a comprehensive dataset from different perspectives. We describe the system as well as an exemplary workflow. CONCLUSIONS: VANTED is a stand-alone framework which supports scientists during the data analysis and interpretation phase. It is available as a Java open source tool from http://www.vanted.org. More... »
PAGES139
http://scigraph.springernature.com/pub.10.1186/1752-0509-6-139
DOIhttp://dx.doi.org/10.1186/1752-0509-6-139
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1009342061
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/23140568
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"description": "BACKGROUND: Experimental datasets are becoming larger and increasingly complex, spanning different data domains, thereby expanding the requirements for respective tool support for their analysis. Networks provide a basis for the integration, analysis and visualization of multi-omics experimental datasets.\nRESULTS: Here we present VANTED (version 2), a framework for systems biology applications, which comprises a comprehensive set of seven main tasks. These range from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange. The offered set of functionalities is instantiated by combining several tasks in order to enable users to view and explore a comprehensive dataset from different perspectives. We describe the system as well as an exemplary workflow.\nCONCLUSIONS: VANTED is a stand-alone framework which supports scientists during the data analysis and interpretation phase. It is available as a Java open source tool from http://www.vanted.org.",
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