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VisANT: an online visualization and analysis tool for biological interaction data
BACKGROUND: New techniques for determining relationships between biomolecules of all types – genes, proteins, noncoding DNA, metabolites and small molecules – are now making a substantial contribution to the widely discussed explosion of facts about the cell. The data generated by these techniques p...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC368431/ https://www.ncbi.nlm.nih.gov/pubmed/15028117 http://dx.doi.org/10.1186/1471-2105-5-17 |
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author | Hu, Zhenjun Mellor, Joseph Wu, Jie DeLisi, Charles |
author_facet | Hu, Zhenjun Mellor, Joseph Wu, Jie DeLisi, Charles |
author_sort | Hu, Zhenjun |
collection | PubMed |
description | BACKGROUND: New techniques for determining relationships between biomolecules of all types – genes, proteins, noncoding DNA, metabolites and small molecules – are now making a substantial contribution to the widely discussed explosion of facts about the cell. The data generated by these techniques promote a picture of the cell as an interconnected information network, with molecular components linked with one another in topologies that can encode and represent many features of cellular function. This networked view of biology brings the potential for systematic understanding of living molecular systems. RESULTS: We present VisANT, an application for integrating biomolecular interaction data into a cohesive, graphical interface. This software features a multi-tiered architecture for data flexibility, separating back-end modules for data retrieval from a front-end visualization and analysis package. VisANT is a freely available, open-source tool for researchers, and offers an online interface for a large range of published data sets on biomolecular interactions, including those entered by users. This system is integrated with standard databases for organized annotation, including GenBank, KEGG and SwissProt. VisANT is a Java-based, platform-independent tool suitable for a wide range of biological applications, including studies of pathways, gene regulation and systems biology. CONCLUSION: VisANT has been developed to provide interactive visual mining of biological interaction data sets. The new software provides a general tool for mining and visualizing such data in the context of sequence, pathway, structure, and associated annotations. Interaction and predicted association data can be combined, overlaid, manipulated and analyzed using a variety of built-in functions. VisANT is available at . |
format | Text |
id | pubmed-368431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-3684312004-03-14 VisANT: an online visualization and analysis tool for biological interaction data Hu, Zhenjun Mellor, Joseph Wu, Jie DeLisi, Charles BMC Bioinformatics Methodology Article BACKGROUND: New techniques for determining relationships between biomolecules of all types – genes, proteins, noncoding DNA, metabolites and small molecules – are now making a substantial contribution to the widely discussed explosion of facts about the cell. The data generated by these techniques promote a picture of the cell as an interconnected information network, with molecular components linked with one another in topologies that can encode and represent many features of cellular function. This networked view of biology brings the potential for systematic understanding of living molecular systems. RESULTS: We present VisANT, an application for integrating biomolecular interaction data into a cohesive, graphical interface. This software features a multi-tiered architecture for data flexibility, separating back-end modules for data retrieval from a front-end visualization and analysis package. VisANT is a freely available, open-source tool for researchers, and offers an online interface for a large range of published data sets on biomolecular interactions, including those entered by users. This system is integrated with standard databases for organized annotation, including GenBank, KEGG and SwissProt. VisANT is a Java-based, platform-independent tool suitable for a wide range of biological applications, including studies of pathways, gene regulation and systems biology. CONCLUSION: VisANT has been developed to provide interactive visual mining of biological interaction data sets. The new software provides a general tool for mining and visualizing such data in the context of sequence, pathway, structure, and associated annotations. Interaction and predicted association data can be combined, overlaid, manipulated and analyzed using a variety of built-in functions. VisANT is available at . BioMed Central 2004-02-19 /pmc/articles/PMC368431/ /pubmed/15028117 http://dx.doi.org/10.1186/1471-2105-5-17 Text en Copyright © 2004 Hu et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Methodology Article Hu, Zhenjun Mellor, Joseph Wu, Jie DeLisi, Charles VisANT: an online visualization and analysis tool for biological interaction data |
title | VisANT: an online visualization and analysis tool for biological interaction data |
title_full | VisANT: an online visualization and analysis tool for biological interaction data |
title_fullStr | VisANT: an online visualization and analysis tool for biological interaction data |
title_full_unstemmed | VisANT: an online visualization and analysis tool for biological interaction data |
title_short | VisANT: an online visualization and analysis tool for biological interaction data |
title_sort | visant: an online visualization and analysis tool for biological interaction data |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC368431/ https://www.ncbi.nlm.nih.gov/pubmed/15028117 http://dx.doi.org/10.1186/1471-2105-5-17 |
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