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Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future

机译:可视化基因组和系统生物学:过去,现在和将来的技术,工具,实施技术和趋势

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“Α picture is worth a thousand words.” This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods. Here we discuss the past, present and future of genomic and systems biology visualization. We briefly comment on many visualization and analysis tools and the purposes that they serve. We focus on the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts, and also comment on the future human-computer interaction trends that would enable for enhancing visualization further.
机译:“一张图片值得一千个字。”这种广泛使用的格言用几句话概括了一个概念,即一个概念的成功可视化表示应能够轻松,快速地吸收大量信息。尽管总的来说,使用图像捕捉复杂想法的想法很吸引人,但是1000字足以描述生命科学等研究领域中的未知事物吗?生命科学是巨大数据集的最大产生者之一,这主要是由于最近和快速的技术进步所致。如果没有有效的可视化方法,它们的复杂性将使这些数据集难以理解。在这里,我们讨论基因组和系统生物学可视化的过去,现在和未来。我们简要评论了许多可视化和分析工具及其服务目的。我们专注于最新的库和编程语言,这些语言和程序语言可提供更有效,高效和快速的方法来可视化生物概念,并评论未来的人机交互趋势,可进一步增强可视化效果。

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