• DocumentCode
    2527625
  • Title

    Minimal marker sets to discriminate among seedlines

  • Author

    Hudson, Thomas C. ; Stapleton, Ann E. ; Curley, Amy M.

  • Author_Institution
    Dept. of Comput. Sci. & Biol. Sci., North Carolina Univ., Wilmington, NC, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    120
  • Lastpage
    121
  • Abstract
    Raising seeds for biological experiments is prone to error; a careful experimenter will test in the lab to verify that plants are of the intended strain. Choosing a minimal set of tests that will discriminate between all known seedlines is an instance of Minimal Test Set, a NP-complete problem. Similar biological problems, such as minimizing the number of haplotype tag SNPs, require complex nondeterministic heuristics to solve in reasonable timeframes over modest datasets. However, selecting the minimal marker set to discriminate among seedlines is less complicated than other problems considered in the literature; we show that a simple heuristic approach works well in practice. Finding all minimal sets of tests to identify 91 Zea mays recombinant inbred lines would require months of CPU time; our heuristic gives a result less than twice the minimal possible size in under five seconds, with similar performance on Arabidopsis thaliana recombinant inbred lines.
  • Keywords
    agriculture; biology computing; genetics; molecular biophysics; CPU time Arabidopsis thaliana; haplotype tag SNPs; intended strain; minimal marker sets; nondeterministic heuristics; raising seeds; recombinant inbred lines; Bioinformatics; Biology; Capacitive sensors; Computer errors; Computer science; NP-complete problem; Open source software; Plants (biology); Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.92
  • Filename
    1540566