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Updated: May 5, 2026

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Establishment of a Clinic-based Biorepository
Published on: May 29, 2017
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Biotrust: a comprehensive system for acquiring and distributing biospecimens.
Nicholas Anderson1, Stefan Ponko, Tony Black
1Department of Biomedical Informatics and Medical Education, Seattle, WA ; Institute of Translational Health Sciences, Seattle, WA.
Summary
The Biotrust resource streamlines access to annotated biospecimens for research. This system facilitates rapid investigator use of deidentified samples within 4-7 days, supporting translational research initiatives.
Area of Science:
- Biomedical Informatics
- Translational Research
- Biospecimen Management
Background:
- Coordinating biospecimen discovery and requests for research is complex.
- Existing systems may not offer rapid access or flexible integration.
- The need for efficient, annotated biospecimen resources is critical for translational research.
Purpose of the Study:
- To describe the Biotrust resource, a web-accessible system for coordinating annotated biospecimen discovery and requests.
- To detail the system's modular architecture and its integration into clinical and operational environments.
- To outline the requirements for use, evaluation metrics, and lessons learned from Biotrust implementation.
Main Methods:
- Development of an open-source web application with a modular framework.
- Implementation of a "pass through" system for rapid (4-7 day) provision of deidentified biospecimens.
- Integration of seven independent vertical service arms to support flexible research needs.
Main Results:
- The Biotrust resource enables coordinated discovery and request of annotated, deidentified biospecimens.
- The system provides timely access to biospecimens, crucial for time-sensitive translational research.
- Successful integration into clinical and operational settings has been achieved, supporting diverse research applications.
Conclusions:
- The Biotrust resource offers an efficient, web-based solution for accessing annotated biospecimens.
- Its modular design and rapid turnaround time enhance its utility for translational research.
- Lessons learned from integration provide valuable insights for similar resource implementations.

