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创建关于集成多领域数据的视图。

Creating views on integrated multidomain data.

机构信息

Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.

出版信息

Bioinformatics. 2011 Jul 1;27(13):1839-45. doi: 10.1093/bioinformatics/btr282. Epub 2011 May 6.

Abstract

MOTIVATION

Modern data acquisition methods in biology allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data are usually gathered and interpreted by separate domain scientists, it is hard to grasp multidomain properties and structures. Consequently, there is a need for the integration of biological data from different sources and of different types in one application, providing various visualization approaches.

RESULTS

In this article, methods for the integration and visualization of multimodal biological data are presented. This is achieved based on two graphs representing the meta-relations between biological data and the measurement combinations, respectively. Both graphs are linked and serve as different views of the integrated data with navigation and exploration possibilities. Data can be combined and visualized multifariously, resulting in views of the integrated biological data.

AVAILABILITY

http://vanted.ipk-gatersleben.de/hive/.

CONTACT

rohn@ipk-gatersleben.de.

摘要

动机

现代生物学数据采集方法允许以越来越多的数量获取不同类型的数据,从而更全面地了解生物系统。由于数据通常由不同领域的科学家收集和解释,因此很难掌握多领域的属性和结构。因此,需要将来自不同来源和不同类型的生物数据集成到一个应用程序中,提供各种可视化方法。

结果

本文介绍了多模态生物数据的集成和可视化方法。这是通过分别表示生物数据之间的元关系和测量组合之间的元关系的两个图来实现的。这两个图是相互链接的,并且作为集成数据的不同视图,具有导航和探索的可能性。可以将数据进行组合并以多种方式进行可视化,从而生成集成生物数据的视图。

可用性

http://vanted.ipk-gatersleben.de/hive/。

联系方式

rohn@ipk-gatersleben.de

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef8/3117374/57307953592e/btr282f1.jpg

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