高通量生物数据可视化

Leishi Zhang, J. Kuljis, Xiaohui Liu
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引用次数: 1

摘要

高通量生物技术的快速发展对数据分析和可视化领域提出了巨大的挑战。大量的数据和复杂的生物学问题需要解决,这增加了对有效的数据分析和可视化工具的需求,这些工具可以提供直观的视觉表示,并允许充分利用数据。在本文中,我们研究了各种可视化技术,已应用于高通量生物数据分析。探讨了几个关键问题领域以及可能的解决方案,并强调了一些具有挑战性的开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of high throughput biological data
The rapid advances in high throughput biotechnology pose great challenges to the data analysis and visualization community. The sheer volume of data and complex biological problems that need to be answered increase the demand for effective data analysis and visualization tools which provide intuitive visual representation and allow full exploitation of the data. In this paper, we examine various visualization techniques that have been applied to high throughput biological data analysis. Several key problem areas as well as possible solutions are explored, and some challenging open issues are highlighted.
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