Orymold: ontology based gene expression data integration and analysis tool applied to rice.

ABSTRACT:

Background

Integration and exploration of data obtained from genome wide monitoring technologies has become a major challenge for many bioinformaticists and biologists due to its heterogeneity and high dimensionality. A widely accepted approach to solve these issues has been the creation and use of controlled vocabularies (ontologies). Ontologies allow for the formalization of domain knowledge, which in turn enables generalization in the creation of querying interfaces as well as in the integration of heterogeneous data, providing both human and machine readable interfaces.

Results

We designed and implemented a software tool that allows investigators to create their own semantic model of an organism and to use it to dynamically integrate expression data obtained from DNA mic

SUBMITTER: Mercade J 

PROVIDER: S-EPMC2696451 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature