An investigation into various visualization tools for complex biological networks

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2023-06-15 DOI:10.1177/14738716231181545
H. Alzahrani, S. Fernstad
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引用次数: 0

Abstract

Network biology has become crucial to understanding the complex structural characteristics of biological systems. Consequently, advanced visualization approaches are needed to support the investigation of such structures, and several network visualization tools have subsequently been developed to help researchers analyze intricate biological networks. While these tools support a range of analytical and interactive features, it is sometimes unclear to a data analyst or visualization designer which features are of most relevance to biologists. Thus, this study investigates and identifies essential factors for the visualization of complex biological networks using a mixed methodology approach. Based on the findings, essential factors were categorized as either generic and heuristic, where the former concern different analytical and interactive functionalities, such as an efficient layout, advanced search capabilities, plugin availability, graph analysis and user-friendliness, while the latter concern usability, such as information coding, flexibility, orientation and help.1 Furthermore, the findings indicate that 12 of the 15 generic factors identified were moderately important, while all 10 heuristic factors identified herein were moderately important.
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各种复杂生物网络可视化工具的研究
网络生物学已经成为理解生物系统复杂结构特征的关键。因此,需要先进的可视化方法来支持对这些结构的研究,并且随后开发了一些网络可视化工具来帮助研究人员分析复杂的生物网络。虽然这些工具支持一系列分析和交互功能,但对于数据分析师或可视化设计人员来说,哪些功能与生物学家最相关,有时是不清楚的。因此,本研究使用混合方法研究和确定复杂生物网络可视化的基本因素。根据调查结果,基本因素被分为通用和启发式两类,前者关注不同的分析和交互功能,如高效的布局、高级搜索功能、插件可用性、图形分析和用户友好性,而后者关注可用性,如信息编码、灵活性、方向和帮助此外,研究结果表明,确定的15个一般因素中有12个是中等重要的,而本文确定的10个启发式因素都是中等重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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