Title
Ontology-based instance data validation for high-quality curated biological pathways.
Abstract
Modeling in systems biology is vital for understanding the complexity of biological systems across scales and predicting system-level behaviors. To obtain high-quality pathway databases, it is essential to improve the efficiency of model validation and model update based on appropriate feedback.We have developed a new method to guide creating novel high-quality biological pathways, using a rule-based validation. Rules are defined to correct models against biological semantics and improve models for dynamic simulation. In this work, we have defined 40 rules which constrain event-specific participants and the related features and adding missing processes based on biological events. This approach is applied to data in Cell System Ontology which is a comprehensive ontology that represents complex biological pathways with dynamics and visualization. The experimental results show that the relatively simple rules can efficiently detect errors made during curation, such as misassignment and misuse of ontology concepts and terms in curated models.A new rule-based approach has been developed to facilitate model validation and model complementation. Our rule-based validation embedding biological semantics enables us to provide high-quality curated biological pathways. This approach can serve as a preprocessing step for model integration, exchange and extraction data, and simulation.
Year
DOI
Venue
2011
10.1186/1471-2105-12-S1-S8
BMC Bioinformatics
Keywords
Field
DocType
systems biology,biological systems,dynamic simulation,system biology,algorithms,model validation,microarrays,data validation,rule based,bioinformatics,computer simulation
Ontology,Data validation,Computer science,Systems biology,Bioinformatics,Validation Studies as Topic,RDF
Journal
Volume
Issue
ISSN
12 Suppl 1
Suppl 1
1471-2105
Citations 
PageRank 
References 
13
0.63
15
Authors
4
Name
Order
Citations
PageRank
Euna Jeong11168.51
Masao Nagasaki236826.22
Kazuko Ueno3311.81
Satoru Miyano42406250.71