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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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/. |
format | Online Article Text |
id | pubmed-3923765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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