• DocumentCode
    2471019
  • Title

    DNA algorithm on making spanning tree problem

  • Author

    Kang, Zhou ; Yufang, Huang ; Zhen, Cheng ; Jin, Xu

  • Author_Institution
    Dept. of Math. & Phys., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Composition and biochemistry experiments of sticker model and the realization process of fundamental biochemical experiments are discussed. Based on separation technology and electrophoresis experiment, a new detection experiment is put forward, which can be used to detect experimental results containing various kinds of memory complex. DNA algorithm of making all spanning tree problem and its biochemical realization process are put forward, first the initial solution space of spanning subgraph is created, then all spanning trees are selected from the initial solution space. During the creating solution space of spanning subgraph, complete hybridization based on incomplete separation is first put forward, which can separate equally one tube into several tubes according to the requirement of algorithm design. The correctness and complexity of the DNA algorithm are discussed and proved. Finally, the validity and feasibility of the DNA algorithm are explained by a simulate experiment. Two kinds of biotechnology are first put forward, which are detection experiment based on separation technology and complete hybridization based on incomplete separation, and DNA algorithm of making all spanning tree problem is also first put forward.
  • Keywords
    biocomputing; computational complexity; trees (mathematics); DNA algorithm; biochemical realization process; electrophoresis experiment; separation technology; spanning subgraph; spanning tree problem; Cells (biology); Constraint optimization; Cryptography; DNA computing; Design optimization; Neural networks; Predictive models; Proteins; Quantum computing; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3866-2
  • Electronic_ISBN
    978-1-4244-3867-9
  • Type

    conf

  • DOI
    10.1109/BICTA.2009.5338173
  • Filename
    5338173