RRC ID 7203
著者 Mercadé J, Espinosa A, Adsuara JE, Adrados R, Segura J, Maes T.
タイトル Orymold: ontology based gene expression data integration and analysis tool applied to rice.
ジャーナル BMC Bioinformatics
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 microarrays and other probe based technologies. The software provides tools to use the semantic model to postulate and validate of hypotheses on the spatial and temporal expression and function of genes. In order to illustrate the software's use and features, we used it to build a semantic model of rice (Oryza sativa) and integrated experimental data into it.
CONCLUSION:In this paper we describe the development and features of a flexible software application for dynamic gene expression data annotation, integration, and exploration called Orymold. Orymold is freely available for non-commercial users from http://www.oryzon.com/media/orymold.html.
巻・号 10
ページ 158
公開日 2009-5-23
DOI 10.1186/1471-2105-10-158
PII 1471-2105-10-158
PMID 19463186
PMC PMC2696451
MeSH Databases, Genetic Gene Expression Genomics / methods* Image Processing, Computer-Assisted / methods Oligonucleotide Array Sequence Analysis / methods* Oryza / genetics* Reproducibility of Results Semantics Software* User-Computer Interface Vocabulary, Controlled*
IF 3.242
引用数 0
WOS 分野 BIOCHEMICAL RESEARCH METHODS BIOTECHNOLOGY & APPLIED MICROBIOLOGY MATHEMATICAL & COMPUTATIONAL BIOLOGY
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