Retrieval, alignment, and clustering of computational models based on semantic annotations.

ABSTRACT: The exploding number of computational models produced by Systems Biologists over the last years is an invitation to structure and exploit this new wealth of information. Researchers would like to trace models relevant to specific scientific questions, to explore their biological content, to align and combine them, and to match them with experimental data. To automate these processes, it is essential to consider semantic annotations, which describe their biological meaning. As a prerequisite for a wide range of computational methods, we propose general and flexible similarity measures for Systems Biology models computed from semantic annotations. By using these measures and a large extensible ontology, we implement a platform that can retrieve, cluster, and align Systems Biology models and

SUBMITTER: Schulz M 

PROVIDER: S-EPMC3159965 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature