DocumentCode :
446728
Title :
Biomolecular computing paradigms
Author :
Purdy, C. ; Neaderhouser, Sarah ; Abdel-Aty-Zohdy, H. ; Ewing, R.
Author_Institution :
Dept. of ECECS, Cincinnati Univ., OH
Volume :
1
fYear :
2003
fDate :
30-30 Dec. 2003
Firstpage :
420
Abstract :
Biomolecular technology supports not just one, but a range of novel system architectures. DNA computing targets problems where partial solutions can be "self-assembled" into complete solutions. In vivo computing produces traditional architectures integrated with novel biosensors. Microarrays excel in pattern-matching applications. We discuss these three very different biomolecular computing technologies and compare them to current silicon-based computers
Keywords :
DNA; biocomputing; biosensors; pattern matching; DNA computing; biomolecular computing; biomolecular technology; biosensors; microarrays; pattern-matching applications; silicon-based computer; Analog computers; Application software; Biology computing; Computer architecture; DNA computing; Electrical engineering computing; In vivo; Military computing; Physics computing; Quantum computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
ISSN :
1548-3746
Print_ISBN :
0-7803-8294-3
Type :
conf
DOI :
10.1109/MWSCAS.2003.1562308
Filename :
1562308
Link To Document :
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