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BiNA: A Visual Analytics Tool for Biological Network Data

Interactive visual analysis of biological high-throughput data in the context of the underlying networks is an essential task in modern biomedicine with applications ranging from metabolic engineering to personalized medicine. The complexity and heterogeneity of data sets require flexible software a...

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Detalles Bibliográficos
Autores principales: Gerasch, Andreas, Faber, Daniel, Küntzer, Jan, Niermann, Peter, Kohlbacher, Oliver, Lenhof, Hans-Peter, Kaufmann, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923765/
https://www.ncbi.nlm.nih.gov/pubmed/24551056
http://dx.doi.org/10.1371/journal.pone.0087397
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author Gerasch, Andreas
Faber, Daniel
Küntzer, Jan
Niermann, Peter
Kohlbacher, Oliver
Lenhof, Hans-Peter
Kaufmann, Michael
author_facet Gerasch, Andreas
Faber, Daniel
Küntzer, Jan
Niermann, Peter
Kohlbacher, Oliver
Lenhof, Hans-Peter
Kaufmann, Michael
author_sort Gerasch, Andreas
collection PubMed
description Interactive visual analysis of biological high-throughput data in the context of the underlying networks is an essential task in modern biomedicine with applications ranging from metabolic engineering to personalized medicine. The complexity and heterogeneity of data sets require flexible software architectures for data analysis. Concise and easily readable graphical representation of data and interactive navigation of large data sets are essential in this context. We present BiNA - the Biological Network Analyzer - a flexible open-source software for analyzing and visualizing biological networks. Highly configurable visualization styles for regulatory and metabolic network data offer sophisticated drawings and intuitive navigation and exploration techniques using hierarchical graph concepts. The generic projection and analysis framework provides powerful functionalities for visual analyses of high-throughput omics data in the context of networks, in particular for the differential analysis and the analysis of time series data. A direct interface to an underlying data warehouse provides fast access to a wide range of semantically integrated biological network databases. A plugin system allows simple customization and integration of new analysis algorithms or visual representations. BiNA is available under the 3-clause BSD license at http://bina.unipax.info/.
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spelling pubmed-39237652014-02-18 BiNA: A Visual Analytics Tool for Biological Network Data Gerasch, Andreas Faber, Daniel Küntzer, Jan Niermann, Peter Kohlbacher, Oliver Lenhof, Hans-Peter Kaufmann, Michael PLoS One Research Article Interactive visual analysis of biological high-throughput data in the context of the underlying networks is an essential task in modern biomedicine with applications ranging from metabolic engineering to personalized medicine. The complexity and heterogeneity of data sets require flexible software architectures for data analysis. Concise and easily readable graphical representation of data and interactive navigation of large data sets are essential in this context. We present BiNA - the Biological Network Analyzer - a flexible open-source software for analyzing and visualizing biological networks. Highly configurable visualization styles for regulatory and metabolic network data offer sophisticated drawings and intuitive navigation and exploration techniques using hierarchical graph concepts. The generic projection and analysis framework provides powerful functionalities for visual analyses of high-throughput omics data in the context of networks, in particular for the differential analysis and the analysis of time series data. A direct interface to an underlying data warehouse provides fast access to a wide range of semantically integrated biological network databases. A plugin system allows simple customization and integration of new analysis algorithms or visual representations. BiNA is available under the 3-clause BSD license at http://bina.unipax.info/. Public Library of Science 2014-02-13 /pmc/articles/PMC3923765/ /pubmed/24551056 http://dx.doi.org/10.1371/journal.pone.0087397 Text en © 2014 Gerasch et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gerasch, Andreas
Faber, Daniel
Küntzer, Jan
Niermann, Peter
Kohlbacher, Oliver
Lenhof, Hans-Peter
Kaufmann, Michael
BiNA: A Visual Analytics Tool for Biological Network Data
title BiNA: A Visual Analytics Tool for Biological Network Data
title_full BiNA: A Visual Analytics Tool for Biological Network Data
title_fullStr BiNA: A Visual Analytics Tool for Biological Network Data
title_full_unstemmed BiNA: A Visual Analytics Tool for Biological Network Data
title_short BiNA: A Visual Analytics Tool for Biological Network Data
title_sort bina: a visual analytics tool for biological network data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923765/
https://www.ncbi.nlm.nih.gov/pubmed/24551056
http://dx.doi.org/10.1371/journal.pone.0087397
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