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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
Lilit Nersisyan1, Ruben Samsonyan2, Arsen Arakelyan1
1Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences of the Republic of Armenia, Yerevan, 0014, Armenia.
Abstract:
The KEGG pathway database is a widely accepted source for biomolecular pathway maps. In this paper we present the CyKEGGParser app ( http://apps.cytoscape.org/apps/cykeggparser) for Cytoscape 3 that allows manipulation with KEGG pathway maps. Along with basic functionalities for pathway retrieval, visualization and export in KGML and BioPAX formats, the app provides unique features for computer-assisted adjustment of inconsistencies in KEGG pathway KGML files and generation of tissue- and protein-protein interaction specific pathways. We demonstrate that using biological context-specific KEGG pathways created with CyKEGGParser makes systems biology analysis more sensitive and appropriate compared to original pathways.

