GENESIS, a knowledge-based genetic engineering simulation system for represntation of genetic data and experiment planning | Zendy

Peter Friedland | Zendy; Larry Kedes | Zendy; Douglas L. Brutlag | Zendy; Yumi Iwasaki | Zendy; René Bach | Zendy

Open Access

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

Author(s) -

Peter Friedland,

Larry Kedes,

Douglas L. Brutlag,

Yumi Iwasaki,

René Bach

Publication year - 1982

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/10.1.323

Subject(s) - domain (mathematical analysis) , construct (python library) , biology , knowledge base , domain knowledge , computational biology , genetic data , computer science , artificial intelligence , programming language , mathematical analysis , mathematics , population , demography , sociology

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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