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A gene mapping expert system.

J Galland1, M H Skolnick

  • 1Department of Medical Informatics, University of Utah, Salt Lake City 84108.

Computers and Biomedical Research, an International Journal
|August 1, 1990
PubMed
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Genetic expert systems face performance challenges. The gene mapping expert system GMES, built with Lisp and FROBS, enhances portability and modifiability for genetic experiments.

Area of Science:

  • Artificial Intelligence in Genetics
  • Computational Genetics
  • Expert Systems

Background:

  • Expert systems are widely used but underutilized in genetics.
  • Early genetic expert systems faced significant performance limitations with larger datasets.
  • Key requirements for genetic expert systems include performance, portability, and modifiability.

Purpose of the Study:

  • To address the performance and portability issues of genetic expert systems.
  • To develop a robust system for gene mapping experiments.
  • To create a modifiable and maintainable genetic expert system.

Main Methods:

  • Implemented the gene mapping expert system (GMES) using Common Lisp and the FROBS expert system shell.
  • Built GMES on a C-based version of Common Lisp for enhanced portability.

Related Experiment Videos

  • Utilized FROBS for declarative representation of experimental components.

    • Main Results:

    • GMES demonstrated efficient representation, control, and optimization of gene mapping experiments.
    • The system achieved portability through its Common Lisp foundation.
    • Declarative representation facilitated a maintainable and transplantable system specification.

    Conclusions:

    • The combination of Lisp and the FROBS shell effectively addresses performance, portability, and modifiability requirements for genetic expert systems.
    • GMES provides a viable solution for optimizing gene mapping experiments.
    • This approach sets a precedent for developing more advanced genetic expert systems.