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Visualizing biological pathways: requirements analysis, systems evaluation and research agenda

机译:可视化生物途径:需求分析,系统评估和研究议程

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Pathway diagrams are used by life scientists to represent complex interactions at the molecular level in living cells. The recent shift towards data-intensive bioinformatics and systems-level science has created a strong need for advanced pathway visualizations that support exploratory analysis. This paper presents a comprehensive list of requirements for pathway visualization systems, based on interviews conducted to understand life scientists' needs for pathway analysis. A variety of existing pathway visualization systems are examined, to analyze common approaches by which the contemporary systems address these requirements. A heuristic evaluation, by biology domain experts, of five popular pathway visualization systems is conducted to analyze the end-user perception of these systems. Based on these studies, a research agenda is presented concerning five critical requirements for pathway visualization systems. If addressed effectively, these requirements can prove to be most helpful in supporting exploratory pathway analysis. These include: (1) automated construction and updating of pathways by searching literature databases, (2) overlaying information on pathways in a biologically relevant format, (3) linking pathways to multi-dimensional data from high-throughput experiments such as microarrays, (4) overviewing multiple pathways simultaneously with interconnections between them, (5) scaling pathways to higher levels of abstraction to analyze effects of complex molecular interactions at higher levels of biological organization.
机译:生命科学家使用路径图来表示活细胞中分子水平的复杂相互作用。最近转向数据密集型生物信息学和系统级科学的趋势,强烈需要支持探索性分析的高级途径可视化。本文通过访谈了解生命科学家对途径分析的需求,提出了途径可视化系统要求的综合清单。审查了各种现有的路径可视化系统,以分析当代系统满足这些要求的常用方法。由生物学领域的专家对五个流行的路径可视化系统进行启发式评估,以分析这些系统的最终用户感知。基于这些研究,提出了有关路径可视化系统的五个关键要求的研究议程。如果得到有效解决,这些要求可以证明对探索性途径分析最有帮助。其中包括:(1)通过搜索文献数据库来自动构建和更新途径,(2)以生物学相关的格式叠加在途径上的信息,(3)将途径与来自高通量实验(例如微阵列)的多维数据相关联,( 4)同时概述多个途径以及它们之间的相互联系,(5)将途径缩放到更高的抽象水平,以分析更高水平的生物组织中复杂分子相互作用的影响。

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