Simulation and visualization of multiple KEGG pathways using BioNSi

Amir Rubinstein, Adva Yeheskel, Adam Reiter, Metsada Pasmanik-Chor

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: Many biologists are discouraged from using network simulation tools because these require manual, often tedious network construction. This situation calls for building new tools or extending existing ones with the ability to import biological pathways previously deposited in databases and analyze them, in order to produce novel biological insights at the pathway level. Results: We have extended a network simulation tool (BioNSi), which now allows merging of multiple pathways from the KEGG pathway database into a single, coherent network, and visualizing its properties. Furthermore, the enhanced tool enables loading experimental expression data into the network and simulating its dynamics under various biological conditions or perturbations. As a proof of concept, we tested two sets of published experimental data, one related to inflammatory bowel disease condition and the other to breast cancer treatment. We predict some of the major observations obtained following these laboratory experiments, and provide new insights that may shed additional light on these results. Tool requirements: Cytoscape 3.x, JAVA 8 Availability: The tool is freely available at http://bionsi.wix.com/bionsi, where a complete user guide and a step-by-step manual can also be found.

Original languageEnglish
Article number2120
JournalF1000Research
Volume6
DOIs
StatePublished - 2018

Keywords

  • BioNSi
  • Biological network
  • Cytoscape
  • Gene expression
  • KEGG
  • Simulation

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