Literature DB >> 6950365

GENESIS, a knowledge-based genetic engineering simulation system for representation of genetic data and experiment planning.

P Friedland, L Kedes, D Brutlag, Y Iwasaki, R Bach.   

Abstract

We have built a knowledge-based genetic engineering simulation system-- GENESIS-- capable of representing both domain-specific and general knowledge. Information is stored within a hierarchically-organized framework composed of structures called units. A series of sophisticated editors enables no-computer specialist molecular geneticists to construct a knowledge base through direct interaction with the computer. Three types of knowledge specific to the domain of molecular genetics, MAPS, sequences and RULES are discussed in detail with examples.

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Year:  1982        PMID: 6950365      PMCID: PMC326136          DOI: 10.1093/nar/10.1.323

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  6 in total

1.  A comprehensive package for DNA sequence analysis in FORTRAN IV for the PDP-11.

Authors:  J Arnold; V K Eckenrode; K Lemke; G J Phillips; S W Schaeffer
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

2.  Data structures for DNA sequence manipulation.

Authors:  C B Lawrence
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

3.  Portable microcomputer software for nucleotide sequence analysis.

Authors:  B Fristensky; J Lis; R Wu
Journal:  Nucleic Acids Res       Date:  1982-10-25       Impact factor: 16.971

4.  BIOLOG - a DNA sequence analysis system in PROLOG.

Authors:  A Lyall; P Hammond; D Brough; D Glover
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

5.  Intelligent computational assistance for experiment design.

Authors:  R Bach; Y Iwasaki; P Friedland
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

6.  Tissue specificity and clustering of methylated cystosines in bovine satellite I DNA.

Authors:  H Sano; R Sager
Journal:  Proc Natl Acad Sci U S A       Date:  1982-06       Impact factor: 11.205

  6 in total

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