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KEGGParser: parsing and editing KEGG pathway maps in Matlab

version 1.9.0.0 (2.67 MB) by Arsen Arakelyan
Matlab graph based tool for KEGG pathway parsing, editing, visualization and analysis

1.5K Downloads

Updated 24 Mar 2014

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KEGG pathway database is a collection of manually drawn pathway maps representing current knowledge on molecular interaction and reaction networks, accompanied with KGML (KEGG pathway xml format) files for automatic computational analyses and modeling of metabolic and signaling networks. In a KGML file the pathway is represented as a graph object with entry elements (gene products, compounds, pathways) as its nodes, and relations between elements as edges. However, in most cases there is a lack of correspondence between static images of pathways and accompanying KGML files, so preprocessing of information contained in a KGML file is needed before it can be used in automatic analysis. Several KGML parsers have been developed recently, both standalone or integrated in different bioinformatics packages.
We introduce KEGGParser (pathway parser/editor), which is based on Matlab biograph class.

Features:
1. Retrieval, parsing and automatic correction for protein-compound-protein interactions, group nodes and binding directions;

2. Pathway graph editing (edge and node manipulations) based on "Graph manipulation" (http://www.mathworks.com/matlabcentral/fileexchange/37475-graph-manipulation);

3. Analysis of parsed pathways can be performed using Matlab built-in graph-based calculations.

See more details in Arakelyan A, Nersisyan L.KEGGParser: parsing and editing KEGG pathway maps in Matlab. Bioinformatics. 2013 Feb 15;29(4):518-9. doi: 10.1093/bioinformatics/bts730.

Cite As

Arsen Arakelyan (2022). KEGGParser: parsing and editing KEGG pathway maps in Matlab (https://www.mathworks.com/matlabcentral/fileexchange/37561-keggparser-parsing-and-editing-kegg-pathway-maps-in-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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