作者
Jacob Köhler, Jan Baumbach, Jan Taubert, Michael Specht, Andre Skusa, Alexander Rüegg, Chris Rawlings, Paul Verrier, Stephan Philippi
发表日期
2006/6/1
期刊
Bioinformatics
卷号
22
期号
11
页码范围
1383-1390
出版商
Oxford University Press
简介
Motivation: Assembling the relevant information needed to interpret the output from high-throughput, genome scale, experiments such as gene expression microarrays is challenging. Analysis reveals genes that show statistically significant changes in expression levels, but more information is needed to determine their biological relevance. The challenge is to bring these genes together with biological information distributed across hundreds of databases or buried in the scientific literature (millions of articles). Software tools are needed to automate this task which at present is labor-intensive and requires considerable informatics and biological expertise.
Results: This article describes ONDEX and how it can be applied to the task of interpreting gene expression results. ONDEX is a database system that combines the features of semantic database integration and text mining with methods for …
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