Ignet: A centrality and INO-based web system for analyzing and visualizing literature-mined networks

Arzucan Özgür, Junguk Hur, Zuoshuang Xiang, Edison Ong, Dragomir R. Radev, Yongqun He

Research output: Contribution to journalConference article

Abstract

Ignet (Integrative Gene Network) is a web-based system for dynamically updating and analyzing gene interaction networks mined using all PubMed abstracts. Four centrality metrics, namely degree, eigenvector, betweenness, and closeness are used to determine the importance of genes in the networks. Different gene interaction types between genes are classified using the Interaction Network Ontology (INO) that classifies interaction types in an ontological hierarchy along with individual keywords listed for each interaction type. An interactive user interface is designed to explore the interaction network as well as the centrality and ontology based network analysis. Availability: http://ignet.hegroup.org.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume1747
StatePublished - 2016
Event2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016 - Corvallis, United States
Duration: Aug 1 2016Aug 4 2016

ASJC Scopus subject areas

  • Computer Science(all)

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