Genomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between algorithmic approaches and the cognitive skills of investigators. Addressing this need has become crucial in genomics, as biomedical research is increasingly data‐driven and many studies lack well‐defined hypotheses. A key challenge in data‐driven research is to discover unexpected patterns and to formulate hypotheses in an unbiased manner in vast amounts of genomic and other associated data. Over the past two decades, this has driven the development of numerous data visualization techniques and tools for visualizing genomic data. Based on a comprehensive literature survey, we propose taxonomies for data, visualization, and tasks involved in genomic data visualization. Furthermore, we provide a comprehensive review of published genomic visualization tools in the context of the proposed taxonomies.

中文翻译：

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基因组数据可视化的任务、技术和工具

基因组数据可视化对于解释和假设生成以及交流发现的宝贵帮助至关重要。视觉工具弥合了算法方法和调查人员的认知技能之间的差距。解决这一需求在基因组学中变得至关重要，因为生物医学研究越来越以数据为导向，而且许多研究缺乏明确定义的假设。数据驱动研究的一个关键挑战是发现意想不到的模式，并在大量基因组和其他相关数据中以无偏见的方式制定假设。在过去的二十年里，这推动了许多用于可视化基因组数据的数据可视化技术和工具的发展。基于全面的文献调查，我们为基因组数据可视化中涉及的数据、可视化和任务提出了分类法。