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This study reframes the Standard Genetic Code (SGC) using a relational data model. This approach organizes genetic code data into normalized tables, enhancing clarity and management of biological information.

Keywords:
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genetics

Background:

  • The Standard Genetic Code (SGC) is commonly presented as a single table.
  • The relational data model (RM) offers a structured approach to data organization.
  • Existing SGC representations may not fully leverage data normalization principles.

Purpose of the Study:

  • To apply Edgar F. Codd's relational data model to the Standard Genetic Code.
  • To develop a normalized, database-consistent representation of the genetic code.
  • To explore how data normalization clarifies the functional relationships within the genetic code.

Main Methods:

  • Applying normalization rules of the relational data model to the SGC table.
  • Decomposing the SGC into four interconnected normalized tables.
  • Defining table structures based on codon bases and relational principles.

Main Results:

  • The SGC can be represented as a set of normalized relational tables.
  • This RM-based structure clarifies the functional role of the first and third codon bases.
  • The model aligns with principles of ambiguity reduction in biological codes.

Conclusions:

  • A relational data model provides a robust framework for managing genetic code information.
  • Normalization reveals the informational synergy between the first and third codon bases.
  • This approach enhances understanding of the genetic code's structure and origin.