InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology.

Journal: BMC genomics
Published Date: Aug 31, 2016

Abstract

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.

Authors

  • Jiajie Peng
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. jiajiepeng@hit.edu.cn.
  • Hongxiang Li
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Yongzhuang Liu
  • Liran Juan
    School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Qinghua Jiang
    School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Yadong Wang
    The Biofoundry, Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States.
  • Jin Chen
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.

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