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KEGGViewer, a BioJS component to visualize KEGG Pathways

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Villaveces,  Jose M.
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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Citation

Villaveces, J. M., Jimenez, R. C., & Habermann, B. H. (2014). KEGGViewer, a BioJS component to visualize KEGG Pathways. F1000Research, 3: f1000research.3-43.v1. doi:10.12688/f1000research.3-43.v1.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0025-78AA-4
Abstract
Signaling pathways provide essential information on complex regulatory processes within the cell. They are moreover widely used to interpret and integrate data from large-scale studies, such as expression or functional screens. We present KEGGViewer a BioJS component to visualize KEGG pathways and to allow their visual integration with functional data