KEGGViewer, a BioJS component to visualize KEGG Pathways

Jose M Villaveces; Rafael C Jimenez; Bianca H Habermann

doi:10.12688/f1000research.3-43.v1

KEGGViewer, a BioJS component to visualize KEGG Pathways

F1000Res. 2014 Feb 13:3:43. doi: 10.12688/f1000research.3-43.v1. eCollection 2014.

Authors

Jose M Villaveces¹, Rafael C Jimenez², Bianca H Habermann¹

Affiliations

¹ Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Germany.
² European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Abstract

Summary: 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.

Availability: KEGGViewer is an open-source tool freely available at the BioJS Registry. Instructions on how to use the tool are available at http://goo.gl/dVeWpg and the source code can be found at http://github.com/biojs/biojs and DOI: 10.5281/zenodo.7708.

Grants and funding

JMV was financed by BMBF-grant 315737 (Virtual Liver Network). This work was supported by the Max Planck Society.