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A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research

CONTEXT: Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informa...

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Detalles Bibliográficos
Autores principales: Amin, Waqas, Singh, Harpreet, Pople, Andre K., Winters, Sharon, Dhir, Rajiv, Parwani, Anil V., Becich, Michael J.
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941965/
https://www.ncbi.nlm.nih.gov/pubmed/20922029
http://dx.doi.org/10.4103/2153-3539.68314
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author Amin, Waqas
Singh, Harpreet
Pople, Andre K.
Winters, Sharon
Dhir, Rajiv
Parwani, Anil V.
Becich, Michael J.
author_facet Amin, Waqas
Singh, Harpreet
Pople, Andre K.
Winters, Sharon
Dhir, Rajiv
Parwani, Anil V.
Becich, Michael J.
author_sort Amin, Waqas
collection PubMed
description CONTEXT: Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. DESIGN: Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. RESULT: The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. CONCLUSION: These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems.
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spelling pubmed-29419652010-10-04 A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research Amin, Waqas Singh, Harpreet Pople, Andre K. Winters, Sharon Dhir, Rajiv Parwani, Anil V. Becich, Michael J. J Pathol Inform Review Article CONTEXT: Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. DESIGN: Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. RESULT: The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. CONCLUSION: These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems. Medknow Publications 2010-08-10 /pmc/articles/PMC2941965/ /pubmed/20922029 http://dx.doi.org/10.4103/2153-3539.68314 Text en © 2010 Amin W. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review Article
Amin, Waqas
Singh, Harpreet
Pople, Andre K.
Winters, Sharon
Dhir, Rajiv
Parwani, Anil V.
Becich, Michael J.
A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title_full A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title_fullStr A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title_full_unstemmed A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title_short A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
title_sort decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941965/
https://www.ncbi.nlm.nih.gov/pubmed/20922029
http://dx.doi.org/10.4103/2153-3539.68314
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