de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

KEGGViewer, a BioJS component to visualize KEGG Pathways

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons134787

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons101406

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

Locator
There are no locators available
Fulltext (public)
Supplementary Material (public)
There is no public supplementary material available
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: http://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