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Title: InteGO2: A web tool for measuring and visualizing gene semantic similarities using Gene Ontology

Journal Article · · BMC Genomics
 [1];  [2];  [2];  [2];  [2];  [2];  [3]
  1. Northwestern Polytechnical Univ., Xi'an (China); Michigan State Univ., East Lansing, MI (United States)
  2. Harbin Institute of Technology, Harbin (China)
  3. Michigan State Univ., East Lansing, MI (United States)

Here, the Gene Ontology (GO) has been used in high-throughput omics research as a major bioinformatics resource. The hierarchical structure of GO provides users a convenient platform for biological information abstraction and hypothesis testing. Computational methods have been developed to identify functionally similar genes. However, none of the existing measurements take into account all the rich information in GO. Similarly, using these existing methods, web-based applications have been constructed to compute gene functional similarities, and to provide pure text-based outputs. Without a graphical visualization interface, it is difficult for result interpretation. As a result, we present InteGO2, a web tool that allows researchers to calculate the GO-based gene semantic similarities using seven widely used GO-based similarity measurements. Also, we provide an integrative measurement that synergistically integrates all the individual measurements to improve the overall performance. Using HTML5 and cytoscape.js, we provide a graphical interface in InteGO2 to visualize the resulting gene functional association networks. In conclusion, InteGO2 is an easy-to-use HTML5 based web tool. With it, researchers can measure gene or gene product functional similarity conveniently, and visualize the network of functional interactions in a graphical interface.

Research Organization:
Michigan State Univ., East Lansing, MI (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
FG02-91ER20021
OSTI ID:
1362018
Journal Information:
BMC Genomics, Vol. 17, Issue S5; ISSN 1471-2164
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 24 works
Citation information provided by
Web of Science

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Cited By (9)

OAHG: an integrated resource for annotating human genes with multi-level ontologies journal October 2016
Identifying emerging phenomenon in long temporal phenotyping experiments journal July 2019
Refine gene functional similarity network based on interaction networks journal December 2017
Predicting disease-related genes using integrated biomedical networks journal January 2017
An online tool for measuring and visualizing phenotype similarities using HPO journal August 2018
Constructing an integrated gene similarity network for the identification of disease genes journal September 2017
Constructing an integrated gene similarity network for the identification of disease genes conference December 2016
Dynamically analyzing cell interactions in biological environments using multiagent social learning framework journal September 2017
Investigations on factors influencing HPO-based semantic similarity calculation journal September 2017


Figures / Tables (8)


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