• DocumentCode
    58043
  • Title

    Thermodynamic Post-Processing versus GC-Content Pre-Processing for DNA Codes Satisfying the Hamming Distance and Reverse-Complement Constraints

  • Author

    Tulpan, Dan ; Smith, Derek H. ; Montemanni, Roberto

  • Author_Institution
    Nat. Res. Council Canada, Inf. & Commun. Technol., Moncton, NB, Canada
  • Volume
    11
  • Issue
    2
  • fYear
    2014
  • fDate
    March-April 2014
  • Firstpage
    441
  • Lastpage
    452
  • Abstract
    Stochastic, meta-heuristic and linear construction algorithms for the design of DNA strands satisfying Hamming distance and reverse-complement constraints often use a GC-content constraint to pre-process the DNA strands. Since GC-content is a poor predictor of DNA strand hybridization strength the strands can be filtered by post-processing using thermodynamic calculations. An alternative approach is considered here, where the algorithms are modified to remove consideration of GC-content and rely on post-processing alone to obtain large sets of DNA strands with satisfactory melting temperatures. The two approaches (pre-processing GC-content and post-processing melting temperatures) are compared and are shown to be complementary when large DNA sets are desired. In particular, the second approach can give significant improvements when linear constructions are used.
  • Keywords
    DNA; Hamming codes; biology computing; melting; molecular biophysics; molecular configurations; stochastic processes; thermodynamics; DNA codes; DNA strand hybridization strength; GC-content preprocessing; Hamming distance; large DNA sets; linear construction algorithms; linear constructions; meta-heuristic algorithms; post-processing melting temperatures; reverse-complement constraints; stochastic algorithms; thermodynamic calculations; thermodynamic post-processing; Algorithm design and analysis; Bioinformatics; Computational biology; DNA; Hamming distance; Thermodynamics; DNA design; Hamming distance; linear codes; reverse-complement; stochastic local search;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2014.2299815
  • Filename
    6710171