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The Tissue Microarray OWL Schema: An Open-source Tool for Sharing Tissue Microarray Data

Overview
Journal J Pathol Inform
Date 2010 Sep 1
PMID 20805954
Citations 3
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Abstract

Background: Tissue microarrays (TMAs) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential. Resource Description Framework (RDF) provides a flexible method to represent knowledge in triples, which take the form Subject-Predicate-Object. All data resources are described using Uniform Resource Identifiers (URIs), which are global in scope. We present an OWL (Web Ontology Language) schema that expands upon the TMA data exchange specification to address this issue and assist in data sharing and integration.

Methods: A minimal OWL schema was designed containing only concepts specific to TMA experiments. More general data elements were incorporated from predefined ontologies such as the NCI thesaurus. URIs were assigned using the Linked Data format.

Results: We present examples of files utilizing the schema and conversion of XML data (similar to the TMA DES) to OWL.

Conclusion: By utilizing predefined ontologies and global unique identifiers, this OWL schema provides a solution to the limitations of XML, which represents concepts defined in a localized setting. This will help increase the utilization of tissue resources, facilitating collaborative translational research efforts.

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References
1.
Kajdacsy-Balla A, Geynisman J, Macias V, Setty S, Nanaji N, Berman J . Practical aspects of planning, building, and interpreting tissue microarrays: the Cooperative Prostate Cancer Tissue Resource experience. J Mol Histol. 2007; 38(2):113-21. DOI: 10.1007/s10735-006-9054-5. View

2.
Mohanty S, Mistry A, Amin W, Parwani A, Pople A, Schmandt L . The development and deployment of Common Data Elements for tissue banks for translational research in cancer - an emerging standard based approach for the Mesothelioma Virtual Tissue Bank. BMC Cancer. 2008; 8:91. PMC: 2329649. DOI: 10.1186/1471-2407-8-91. View

3.
Kononen J, Bubendorf L, Kallioniemi A, Barlund M, Schraml P, Leighton S . Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat Med. 1998; 4(7):844-7. DOI: 10.1038/nm0798-844. View

4.
Amin W, Parwani A, Schmandt L, Mohanty S, Farhat G, Pople A . National Mesothelioma Virtual Bank: a standard based biospecimen and clinical data resource to enhance translational research. BMC Cancer. 2008; 8:236. PMC: 2533341. DOI: 10.1186/1471-2407-8-236. View

5.
Berman J, Edgerton M, Friedman B . The tissue microarray data exchange specification: a community-based, open source tool for sharing tissue microarray data. BMC Med Inform Decis Mak. 2003; 3:5. PMC: 165444. DOI: 10.1186/1472-6947-3-5. View