VANTED v2: a framework for systems biology applications
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. Here...
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| Veröffentlicht in: | BMC systems biology 2012-11, Vol.6 (1), p.139-139 |
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| creator | Rohn, Hendrik Junker, Astrid Hartmann, Anja Grafahrend-Belau, Eva Treutler, Hendrik Klapperstück, Matthias Czauderna, Tobias Klukas, Christian Schreiber, Falk |
| description | 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.
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.
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. |
| doi_str_mv | 10.1186/1752-0509-6-139 |
| format | Article |
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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.
VANTED is a stand-alone framework which supports scientists during the data analysis and interpretation phase. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC systems biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rohn, Hendrik</au><au>Junker, Astrid</au><au>Hartmann, Anja</au><au>Grafahrend-Belau, Eva</au><au>Treutler, Hendrik</au><au>Klapperstück, Matthias</au><au>Czauderna, Tobias</au><au>Klukas, Christian</au><au>Schreiber, Falk</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>VANTED v2: a framework for systems biology applications</atitle><jtitle>BMC systems biology</jtitle><addtitle>BMC Syst Biol</addtitle><date>2012-11-10</date><risdate>2012</risdate><volume>6</volume><issue>1</issue><spage>139</spage><epage>139</epage><pages>139-139</pages><issn>1752-0509</issn><eissn>1752-0509</eissn><abstract>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.
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.
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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>23140568</pmid><doi>10.1186/1752-0509-6-139</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Springer Nature OA Free Journals; Access via BioMed Central; PubMed Central |
| subjects | Arabidopsis - cytology Arabidopsis - enzymology Arabidopsis - metabolism Biology Computer Graphics Gene expression Mathematical models Metabolites Programming languages Software Studies Systems Biology - methods Visualization Visualization (Computers) |
| title | VANTED v2: a framework for systems biology applications |
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