Combining computational models, semantic annotations, and associated simulation experiments in a graph database
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Computational Science
- Keywords
- model repository, graph database, nosql, ontology, sbml, cellml, sed-ml
- Copyright
- © 2014 Henkel et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Combining computational models, semantic annotations, and associated simulation experiments in a graph database. PeerJ PrePrints 2:e376v1 https://doi.org/10.7287/peerj.preprints.376v1
Abstract
Model repositories such as the BioModels Database or the CellML Model Repository are frequently accessed to retrieve computational models describing biological systems. However, the current designs of these databases limit the types of supported queries, and many data in these repositories cannot easily be accessed. Computational methods for model retrieval cannot be applied. In this paper we present a storage concept that meets this challenge. It grounds on a graph database, reflects the models' structure, incorporates semantic annotations and experiment descriptions, and ultimately connects different types of model-related data.The connections between heterogeneous model-related data and bio-ontologies enable efficient search via biological facts and grant access to new model features such as network structure.The introduced concept notably improves the access of computational models and associated simulations in a model repository. This has positive effects on tasks such as model search, retrieval, ranking, matching, filtering etc.We exemplify how CellML- and SBML-encoded models can be maintained in one database, how these models can be linked via annotations, and queried.
Supplemental Information
How To: WebAPI and Queries described in this paper.
Described in this PDF is the access and usage of the WebAPI. All queries listed in the paper can be found here, ready for copy & paste.
