Titlebook: DNA Computing; 12th International M Chengde Mao,Takashi Yokomori Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 3-SAT.D

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书目名称DNA Computing影响因子(影响力)




书目名称DNA Computing影响因子(影响力)学科排名




书目名称DNA Computing网络公开度




书目名称DNA Computing网络公开度学科排名




书目名称DNA Computing被引频次




书目名称DNA Computing被引频次学科排名




书目名称DNA Computing年度引用




书目名称DNA Computing年度引用学科排名




书目名称DNA Computing读者反馈




书目名称DNA Computing读者反馈学科排名

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In Search of Optimal Codes for DNA Computingon their possible interaction under a variety of conditions, as measured by Gibbs energies of duplex formation. The results predict close agreement with known results . for 20–mers. Consequences of these results are bounds on the capacity of DNA for information storage and processing in wet tubes fo

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Capabilities and Limits of Compact Error Resilience Methods for Algorithmic Self-assembly in Two andrror correction scheme for reduction of errors from . to .. for arbitrary Boolean functions in two dimensional algorithmic self-assembly. Then we characterize the class of Boolean functions for which the error reduction can be done from . to .., and present an error correction scheme that achieves t

AUGER

A Mathematical Approach to Cross-Linked Structures in Viral Capsids: Predicting the Architecture of ill give examples of failed cases as well as of cases where cross-linking structures are possible. These results serve as a pointer for experimentalists as to which types of cross-linking structures may possibly be engineered and exploited in the framework of drug delivery.

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Spanende Fertigung durch Räumenon their possible interaction under a variety of conditions, as measured by Gibbs energies of duplex formation. The results predict close agreement with known results . for 20–mers. Consequences of these results are bounds on the capacity of DNA for information storage and processing in wet tubes fo

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Endogenisierung der Unterbeschäftigungrror correction scheme for reduction of errors from . to .. for arbitrary Boolean functions in two dimensional algorithmic self-assembly. Then we characterize the class of Boolean functions for which the error reduction can be done from . to .., and present an error correction scheme that achieves t

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