Accession Number : ADA516715


Title :   Superimposed Code Theorectic Analysis of DNA Codes and DNA Computing


Descriptive Note : Final rept. Apr 2007-Sep 2009


Corporate Author : AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE


Personal Author(s) : Renz, Thomas ; Macula, Anthony


Full Text : http://www.dtic.mil/dtic/tr/fulltext/u2/a516715.pdf


Report Date : Mar 2010


Pagination or Media Count : 39


Abstract : In this project, a synthetic Deoxyribonucleic Acid, DNA-based memory called ComDMems (Combinatorial DNA Memories) was developed. The research focused on the application and implementation of combinatorial based information theory and group testing to create associative DNA memories and to retrieve information stored in these DNA memories by chemical and electro-chemical means. This research demonstrates that this combinatorial method can feasibly yield billions of covert and synthetic DNA memory strands that carry object and process information. A key component of this innovation is the combinatorial method of bio-memory design and detection that encodes item or process information as numerical sequences represented in DNA. ComDMem is a content addressable memory (CAM) as opposed to a standard random access memory (RAM). A standard RAM goes directly to a physical address and returns the contents. ComDMem achieves CAM when multiple parallel PCR probes, specific for certain pieces of information search, the ComDMem for memories that contain these pieces of information. In this way all memories associated with a concept(s) can be retrieved and decoded in parallel. A visualization model was created and a tiled display system was built to provide high resolution display of large images for verification of probe-strand interactions.


Descriptors :   *COMBINATORIAL ANALYSIS , *INFORMATION THEORY , VERIFICATION , ELECTROCHEMISTRY , HIGH RESOLUTION , DEOXYRIBONUCLEIC ACIDS , DISPLAY SYSTEMS , RANDOM ACCESS COMPUTER STORAGE , CODING , INFORMATION RETRIEVAL , DETECTION , DATA PROCESSING , SEQUENCES


Subject Categories : Statistics and Probability
      Cybernetics
      Information Science


Distribution Statement : APPROVED FOR PUBLIC RELEASE