Peng Jiajie, Li Hongxiang, Liu Yongzhuang, Juan Liran, Jiang Qinghua, Wang Yadong, Chen Jin
School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, 48824, MI, USA.
BMC Genomics. 2016 Aug 31;17 Suppl 5(Suppl 5):530. doi: 10.1186/s12864-016-2828-6.
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.
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.
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/ .
基因本体论(GO)已作为一种主要的生物信息学资源用于高通量组学研究。GO的层次结构为用户提供了一个便于进行生物信息提取和假设检验的平台。已经开发了计算方法来识别功能相似的基因。然而,现有的度量方法均未考虑GO中所有丰富的信息。同样,利用这些现有方法构建了基于网络的应用程序来计算基因功能相似性,并提供基于纯文本的输出。由于没有图形可视化界面,结果解释起来很困难。
我们展示了InteGO2,这是一个网络工具,它允许研究人员使用七种广泛使用的基于GO的相似性度量方法来计算基于GO的基因语义相似性。此外,我们提供了一种综合度量方法,该方法协同整合所有个体度量方法以提高整体性能。利用HTML5和cytoscape.js,我们在InteGO2中提供了一个图形界面,以可视化所得的基因功能关联网络。
InteGO2是一个易于使用的基于HTML5的网络工具。有了它,研究人员可以方便地测量基因或基因产物的功能相似性,并在图形界面中可视化功能相互作用网络。可通过http://mlg.hit.edu.cn:8089/访问InteGO2。