生物标志物发现的灵活集成和可视化系统。

Mary Gaylord, John Calley, Huahong Qiang, Eric W Su, Birong Liao
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引用次数: 4

摘要

由于分子技术的改进,生物数据以前所未有的速度积累。然而,将数据转化为信息,并随后转化为知识,需要数据访问、可视化和解释之间复杂的相互作用。生物数据是复杂的,可以分层或非分层组织。对于非分层组织的数据,很难观察生物事实之间的关系。此外,很难在不影响可视化界面的情况下对底层数据存储进行更改。在这里,我们展示了一个平台,其中非分层组织的数据可以通过应用包含医学主题标题(MeSH)分类的自定义层次来可视化。该平台为用户提供了更新和操作的灵活性。它还可以通过突出不同层次分支的生物影响,促进新的科学见解。本文介绍了一个使用MeSH和StarTree可视化工具从蛋白质组数据库中整合生物标志物信息的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A flexible integration and visualisation system for biomarker discovery.

Biological data have accumulated at an unprecedented pace as a result of improvements in molecular technologies. However, the translation of data into information, and subsequently into knowledge, requires the intricate interplay of data access, visualisation and interpretation. Biological data are complex and are organised either hierarchically or non-hierarchically. For non-hierarchically organised data, it is difficult to view relationships among biological facts. In addition, it is difficult to make changes in underlying data storage without affecting the visualisation interface. Here, we demonstrate a platform where non-hierarchically organised data can be visualised through the application of a customised hierarchy incorporating medical subject headings (MeSH) classifications. This platform gives users flexibility in updating and manipulation. It can also facilitate fresh scientific insight by highlighting biological impacts across different hierarchical branches. An example of the integration of biomarker information from the curated Proteome database using MeSH and the StarTree visualisation tool is presented.

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