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Metaphors, models and bioinformation

R Paton1

  • 1Liverpool Biocomputation Group, Department of Computer Science, University of Liverpool, UK. r.c.paton@csc.liv.ac.uk

Bio Systems
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

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This paper explores bioinformation using system and text metaphors. It proposes an

Area of Science:

  • Biosciences, Bioinformatics, Systems Biology

Background:

  • Bioinformation is a core concept in modern biosciences.
  • Understanding bioinformation relies on various conceptual metaphors.
  • Existing frameworks may limit the integration of bioinformation concepts.

Purpose of the Study:

  • To examine metaphors related to bioinformation, including 'system' and 'text'.
  • To present a framework for understanding biosystems and computer systems.
  • To propose an integrated approach to bioinformation using an 'ecology of domains'.

Main Methods:

  • Metaphor analysis of bioinformation concepts.
  • Framework development for comparing biosystems and computer systems.
  • Discussion of specific examples like parallel distributed processing and 'text' metaphors ('glue', 'verbs', 'interpretation').

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Main Results:

  • Identifies key metaphors for bioinformation: 'system' and 'text'.
  • Illustrates parallel distributed processing in non-neural tissues.
  • Highlights 'glue', 'verbs', and 'interpretation' as textual metaphors in biology.

Conclusions:

  • Proposes an 'ecology of domains' as a unifying concept for bioinformation.
  • Suggests a new perspective for integrating diverse bioinformation concepts.
  • Emphasizes the utility of metaphors in advancing bioscience understanding.