Computational Sensing and in vitro Classification of GMOs and Biomolecular Events
Abstract
The increasing threat of microbial weapons of mass destruction (WMD) creates a critical need for rapid development and deployment of target-specific microsensor detection systems. Next-generation biosensor-dependent technologies must incorporate intelligence into the microsensor platform, enabling the execution of complex detection tasks, such as systematic identification and classification of microbial agents and genetically modified organisms (GMOs) in the presence of non-lethal agents. Using an information and coding theoretic framework we develop a de novo method for mapping a generic bio-detection and classification problem to deoxyribozyme-compliant algorithms. We implement an algorithm on our novel computational biosensor system and as a proof-of-concept develop an application-specific, computational biosensor for concurrent detection and classification of H5N1 regional strains.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2008
- Accession Number
- ADA505820
Entities
People
- Elebeoba May
- Miler T. Lee
- Monica Manginell
- Patricia Dolan
- Paul Crozier
- Susan Brozik
Organizations
- Sandia National Laboratories