Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response

s text mining techniques over Medline abstracts as a method for accessing both these bodies of evidence in a consistent way. In an example use case, we apply our method to create a knowledge base of Arabidopsis proteins implicated in plant stress response and use various scoring metrics to identify key protein-stress associations. In conclusion, we show that the additional text mining features are able to highlight proteins using the scientific literature that would not have been seen using data integration alone. Ondex is an open-source software project and can be downloaded, together with the text mining features described here, from www.ondex.org.

• Type: Journal
• Year: 2010
• Where: JIB
• Authors: Keywan Hassani-Pak, Roxane Legaie, Catherine Canevet, Hugo Antonius van den Berg, Jonathan D. Moore, Christopher J. Rawlings
• Keywords: JIB 2010, Plant Stress Response, Text Mining, Various Scoring Metrics