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Tools for visualization and analysis of molecular networks, pathways, and -omics data.

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Villaveces,  Jose M.
Habermann, Bianca / Computational Biology, Max Planck Institute of Biochemistry, Max Planck Society;

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Koti,  Prasanna
Habermann, Bianca / Computational Biology, Max Planck Institute of Biochemistry, Max Planck Society;

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Habermann,  Bianca H.
Habermann, Bianca / Computational Biology, Max Planck Institute of Biochemistry, Max Planck Society;

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Villaveces, J. M., Koti, P., & Habermann, B. H. (2015). Tools for visualization and analysis of molecular networks, pathways, and -omics data. Advances and applications in bioinformatics and chemistry: AABC, 8, 11-22. doi:10.2147/AABC.S63534.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0029-B01C-9
Abstract
Biological pathways have become the standard way to represent the coordinated reactions and actions of a series of molecules in a cell. A series of interconnected pathways is referred to as a biological network, which denotes a more holistic view on the entanglement of cellular reactions. Biological pathways and networks are not only an appropriate approach to visualize molecular reactions. They have also become one leading method in -omics data analysis and visualization. Here, we review a set of pathway and network visualization and analysis methods and take a look at potential future developments in the field.