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面向比较基因组学的可视化方法综述

A Survey of Visualization Approaches for Comparative Genomics

  • 摘要: 利用可视分析技术对基因组学数据进行比较,能够高效地感知基因序列与属性背后的多组学功能结构,深度挖掘保守与变异对基因组亲缘关系的影响,对数据密集型的比较基因组学知识发现具有重要意义.综述近年来国内外比较基因组学可视分析的相关研究,首先简述基因组学序列及衍生信息的数据结构和分析任务,将基因组坐标空间布局分为纵向离散、横向连续和径向嵌套3类,比较归纳各类空间映射方法的研究现状和优缺点;然后针对基因组比较关系进行抽象,总结适用于交互关联和家族层次2种主要比较关系的可视化方法;最后指出面向比较基因组学的可视化方法在数据融合、交互联动、通用框架中面临的挑战和机遇.

     

    Abstract: Using visual analytics techniques to compare genomic data can not only help understand the multi-omics function and structure behind gene sequences and the attributes,but also explore the influence of conservation and variation on genomic genetic relationship deeply.Therefore,visualization approaches are of great significance for data-intensive comparative genomics knowledge discovery.The related research on visual analysis of comparative genomics in recent years are reviewed.First,the data structure and visual analysis tasks of genomics sequences and the derived information are briefly described.Second,the spatial layout of the genome is classified into three categories:vertical discrete,horizontal continuous and radial nested.The advantages and disadvantages of these various mapping methods are also compared and summarized.Third,two main genome comparative relationships are extracted,i.e.,interactive association and family hierarchical relationship,and then the relevant suitable visualization approaches are summarized.Finally,the challenges and opportunities of visualization methods for comparative genomics in data fusion,interaction and general framework are pointed out.

     

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