Pavlopoulos Georgios A, Malliarakis Dimitris, Papanikolaou Nikolas, Theodosiou Theodosis, Enright Anton J, Iliopoulos Ioannis
Bioinformatics & Computational Biology Laboratory, Division of Basic Sciences, University of Crete, Medical School, 70013 Heraklion, Crete Greece.
Department of Biology, University of Crete, 70013 Heraklion, Crete Greece.
Gigascience. 2015 Aug 25;4:38. doi: 10.1186/s13742-015-0077-2. eCollection 2015.
"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.
“一图胜千言。”这句广泛使用的格言用寥寥数语概括了这样一个观念,即对一个概念进行成功的视觉呈现应能使人们轻松快速地吸收大量信息。虽然总体而言,用图像来捕捉复杂概念的想法很有吸引力,但1000个字足以描述生命科学等研究领域中的未知吗?生命科学是大量数据集的最大产生源之一,这主要是近期技术快速发展的结果;如果没有有效的可视化方法,这些数据集的复杂性会使其难以理解。在此,我们讨论基因组学和系统生物学可视化的过去、现在和未来。我们简要评论许多可视化和分析工具及其用途。我们重点关注能实现更有效、高效和快速的生物概念可视化方法的最新库和编程语言,还会评论未来能进一步增强可视化效果的人机交互趋势。