• DocumentCode
    342634
  • Title

    Simulated sequencing by hybridization using evolutionary programming

  • Author

    Fogel, Gary B. ; Chellapilla, Kumar

  • Author_Institution
    Natural Selection Inc., La Jolla, CA, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Abstract
    Sequencing of DNA is among the most important tasks in molecular biology. DNA chips are considered to be a more rapid alternative to more common gel-based methods of sequencing. Previously, we demonstrated the reconstruction of DNA sequence information from a simulated DNA chip using evolutionary programming. The research presented here extends this work by relaxing several assumptions adopted in our initial investigation. We also examine the relationship between base composition of the target sequence and the useful set of probes required to decipher the target on a DNA chip. Comments regarding the nature of the optimal ratio for the target and probe lengths are offered. Our results go further to suggest that evolutionary computation is well-suited to address the sequence reconstruction problem
  • Keywords
    DNA; biology computing; digital simulation; evolutionary computation; molecular biophysics; sequences; DNA chips; DNA sequence information reconstruction; DNA sequencing; base composition; evolutionary programming; hybridization; molecular biology; optimal target/probe length ratio; probes; simulated sequencing; Biological system modeling; Chemicals; DNA; Evolution (biology); Evolutionary computation; Fluorescence; Genetic mutations; Genetic programming; Probes; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-5536-9
  • Type

    conf

  • DOI
    10.1109/CEC.1999.781960
  • Filename
    781960