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  KEGGViewer, a BioJS component to visualize KEGG Pathways

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0025-78AA-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0025-78AB-2
Genre: Journal Article

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10.12688_f1000research.3-43.v1_20150305.pdf (Any fulltext), 877KB
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 Creators:
Villaveces, Jose M.1, Author              
Jimenez, Rafael C., Author
Habermann, Bianca H.1, Author              
Affiliations:
1Habermann, Bianca / Computational Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_1832284              

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 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

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
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 Identifiers: DOI: 10.12688/f1000research.3-43.v1
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Title: F1000Research
Source Genre: Journal
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Pages: - Volume / Issue: 3 Sequence Number: f1000research.3-43.v1 Start / End Page: - Identifier: -