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A knowledge-based experimental design system for nucleic acid engineering

  • K. Jiang
  • , J. Z. Heng
  • , S. B. Higgins
  • , D. M. Watterson
  • , T. A. Craig
  • , T. J. Lukas
  • , L. J.Van Eldik

Producción científica: Articlerevisión exhaustiva

4 Citas (Scopus)

Resumen

Presented in this paper is a knowledge-based experimental design system that incorporates the domain expertise used in nucleic acid engineering, thus automating the processing of error-prone, laborious low-level work, and many decision-making steps, and guiding the biologist toward a workable plan. This allows the biologist to work at a higher abstraction level, concentrating on more fundamental, difficult and challenging problems directly related to protein structure-function relationships. Cassette-based site-directed mutagenesis and synthetic gene designs are used as examples to illustrate the utility of the knowledge-based system approach to experimental design.

Idioma originalEnglish
Páginas (desde-hasta)205-212
Número de páginas8
PublicaciónBioinformatics
Volumen6
N.º3
DOI
EstadoPublished - jul 1990

Nota bibliográfica

Funding Information:
The authors wish to thank Drs Jacques Haiech and Daniel M Roberts for their suggestions and comments at the early stage of this development, Mr Michael Shoemaker for his useful suggestions, and Dr Thomas R.Harris for providing a rich research environment. This research was supported in part by NIH grant GM 30861 (to D.M.W.) and by the Harry H.Straus-Martha Washington Straus Foundation and the Barbara Ingalls Shoak Foundation.

Financiación

The authors wish to thank Drs Jacques Haiech and Daniel M Roberts for their suggestions and comments at the early stage of this development, Mr Michael Shoemaker for his useful suggestions, and Dr Thomas R.Harris for providing a rich research environment. This research was supported in part by NIH grant GM 30861 (to D.M.W.) and by the Harry H.Straus-Martha Washington Straus Foundation and the Barbara Ingalls Shoak Foundation.

FinanciadoresNúmero del financiador
Barbara Ingalls Shoak Foundation
Harry H.Straus-Martha Washington Straus Foundation
National Institutes of Health (NIH)
National Institute of General Medical SciencesR01GM030861

    ASJC Scopus subject areas

    • Statistics and Probability
    • Biochemistry
    • Molecular Biology
    • Computer Science Applications
    • Computational Theory and Mathematics
    • Computational Mathematics

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