Parallel molecular computation
Proceedings of the seventh annual ACM symposium on Parallel algorithms and architectures
DNASequencesGenerator: A Program for the Construction of DNA Sequences
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Experimental Construction of Very Large Scale DNA Databases with Associative Search Capability
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Efficient initial pool generation for weighted graph problems using parallel overlap assembly
DNA'04 Proceedings of the 10th international conference on DNA computing
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In this paper, we propose a novel approach to DNA computing- inspired semantic model. The model is theoretically proposed and constructed with DNA molecules. The preliminary experiment on construction of the small test model was successfully done by using very simple techniques: parallel overlap assembly (POA) method, polymerase chain reaction (PCR), and gel electrophoresis. This model, referred to as ‘semantic model based on molecular computing' (SMC) has the structure of a graph formed by the set of all (attribute, attribute values) pairs contained in the set of represented objects, plus a tag node for each object. Each path in the network, from an initial object-representing tag node to a terminal node represents the object named on the tag. Input of a set of input strands will result in the formation of object-representing dsDNAs via parallel self-assembly, from encoded ssDNAs representing both attributes and attribute values (nodes), as directed by ssDNA splinting strands representing relations (edges) in the network. The proposed model is very suitable for knowledge representation in order to store vast amount of information with high density.