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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)205-212
Number of pages8
JournalBioinformatics
Volume6
Issue number3
DOIs
StatePublished - Jul 1990

Bibliographical note

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.

ASJC Scopus subject areas

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

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