Title
Self-correcting self-assembly: growth models and the hammersley process
Abstract
This paper extends the stochastic analysis of self assembly in DNA-based computation. The new analysis models an error-correcting technique called pulsing which is analogous to checkpointing in computer operation. The model is couched in terms of the well-known tiling models of DNA-based computation and focuses on the calculation of computation times, in particular the times to self assemble rectangular structures. Explicit asymptotic results are found for small error rates q, and exploit the connection between these times and the classical Hammersley process. Specifically, it is found that the expected number of pulsing stages needed to complete the self assembly of an N ×N square lattice is asymptotically $2N\sqrt{q}$ as N →∞ within a suitable scaling. Simulation studies are presented which yield performance under more general assumptions.
Year
DOI
Venue
2005
10.1007/11753681_1
DNA
Keywords
Field
DocType
interacting particle system,self assembly
Applied mathematics,Discrete mathematics,Asymmetric simple exclusion process,Square lattice,Lattice (order),Algorithm,Stochastic process,Expected value,Scaling,Analysis models,Mathematics,Computation
Conference
Volume
ISSN
ISBN
3892
0302-9743
3-540-34161-7
Citations 
PageRank 
References 
12
1.16
11
Authors
4
Name
Order
Citations
PageRank
Yuliy Baryshnikov113522.05
e g coffman21158379.75
Nadrian C Seeman328541.94
Teddy Yimwadsana4121.16