Paduano Francesco, Forbes Angus Graeme
Department of Computer Science M/C 152, University of Illinois at Chicago, 851 S. Morgan, Room 1120, Chicago 60607-7053, IL, USA.
BMC Proc. 2015 Aug 13;9(Suppl 6 Proceedings of the 5th Symposium on Biological Data):S4. doi: 10.1186/1753-6561-9-S6-S4. eCollection 2015.
Biologists make use of pathway visualization tools for a range of tasks, including investigating inter-pathway connectivity and retrieving details about biological entities and interactions. Some of these tasks require an understanding of the hierarchical nature of elements within the pathway or the ability to make comparisons between multiple pathways. We introduce a technique inspired by LineSets that enables biologists to fulfill these tasks more effectively.
We introduce a novel technique, Extended LineSets, to facilitate new explorations of biological pathways. Our technique incorporates intuitive graphical representations of different levels of information and includes a well-designed set of user interactions for selecting, filtering, and organizing biological pathway data gathered from multiple databases.
Based on interviews with domain experts and an analysis of two use cases, we show that our technique provides functionality not currently enabled by current techniques, and moreover that it helps biologists to better understand both inter-pathway connectivity and the hierarchical structure of biological elements within the pathways.
生物学家利用通路可视化工具来完成一系列任务,包括研究通路间的连通性以及获取有关生物实体和相互作用的详细信息。其中一些任务需要理解通路内元素的层次性质,或者能够在多个通路之间进行比较。我们引入了一种受线条集启发的技术,使生物学家能够更有效地完成这些任务。
我们引入了一种新颖的技术——扩展线条集,以促进对生物通路的新探索。我们的技术结合了不同层次信息的直观图形表示,并包括一组精心设计的用户交互,用于选择、过滤和组织从多个数据库收集的生物通路数据。
基于对领域专家的访谈和对两个用例的分析,我们表明我们的技术提供了当前技术目前未具备的功能,而且它有助于生物学家更好地理解通路间的连通性以及通路内生物元素的层次结构。