沉浸式智能基因组数据可视化

Chng Wei Lau, Quang Vinh Nguyen, Zhonglin Qu, S. Simoff, D. Catchpoole
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引用次数: 6

摘要

基因组学数据非常复杂,可能包含有关一种疾病的关键信息,或者一种治疗方法如何对一种疾病有效而对另一种疾病无效。了解这些基因组数据将有助于更好地了解基因与疾病之间的相关性,从而有助于为患者提供个性化治疗。尽管可视化在基因组分析中的应用越来越多,但在沉浸式平台(如增强现实和虚拟现实)上的交互式可视化研究工作仍然有限。本文提出了一种新的交互式可视化和导航基因组学数据在这样的环境。我们提供了在三维遗传相似性空间的患者队列的概述,以及对详细研究感兴趣的基因的看法。可视化使用化身来代表患者,以增强患者在沉浸式环境中的逼真外观和感觉。我们通过儿童癌症数据集b细胞急性淋巴细胞白血病来说明我们平台的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immersive Intelligence Genomic Data Visualisation
Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia.
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