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A Flexible Integration and Visualisation System for Biomarker Discovery

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 ( http://www.biobase-International.com/ ) using MeSH and the StarTree® visualisation tool is presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Bioinformatics Springer Journals

A Flexible Integration and Visualisation System for Biomarker Discovery

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References (15)

Publisher
Springer Journals
Copyright
Copyright © 2006 by Adis Data Information BV
Subject
Pharmacy; Pharmacy
ISSN
1175-5636
DOI
10.2165/00822942-200605040-00004
Publisher site
See Article on Publisher Site

Abstract

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 ( http://www.biobase-International.com/ ) using MeSH and the StarTree® visualisation tool is presented.

Journal

Applied Bioinformatics – Springer Journals

Published: Aug 22, 2012

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