TY - JOUR
T1 - InteGO2
T2 - A web tool for measuring and visualizing gene semantic similarities using Gene Ontology
AU - Peng, Jiajie
AU - Li, Hongxiang
AU - Liu, Yongzhuang
AU - Juan, Liran
AU - Jiang, Qinghua
AU - Wang, Yadong
AU - Chen, Jin
N1 - Publisher Copyright:
© 2016 The Author(s).
PY - 2016/8/31
Y1 - 2016/8/31
N2 - Background: 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. Results: 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. Conclusions: 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. InteGO2 can be accessed via http://mlg.hit.edu.cn:8089/.
AB - Background: 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. Results: 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. Conclusions: 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. InteGO2 can be accessed via http://mlg.hit.edu.cn:8089/.
KW - Gene Ontology
KW - Semantic similarity
KW - Web tool
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U2 - 10.1186/s12864-016-2828-6
DO - 10.1186/s12864-016-2828-6
M3 - Article
C2 - 27586009
AN - SCOPUS:84984700595
SN - 1471-2164
VL - 17
JO - BMC Genomics
JF - BMC Genomics
M1 - 530
ER -