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CompoDynamics: a comprehensive database for characterizing sequence composition dynamics.

Shuai Jiang1,2, Qiang Du1,2,3, Changrui Feng1,2,3

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Summary
This summary is machine-generated.

CompoDynamics is a new database offering comprehensive sequence composition data for coding sequences (CDSs) and genomes. This resource aids in understanding sequence composition dynamics and their roles in biological research.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Sequence composition significantly influences gene expression, RNA stability, translation efficiency, and molecular function.
  • Understanding these compositional dynamics is crucial for genome evolution and adaptation studies across all life forms.
  • A centralized, comprehensive resource for sequence composition data is essential for diverse biological research.

Purpose of the Study:

  • To introduce CompoDynamics, a novel database for comprehensive sequence composition analysis of coding sequences (CDSs) and genomes.
  • To provide a rich repository of nucleotide content, codon usage, amino acid usage, and derived molecular features.
  • To offer interactive tools for comparative analyses of sequence composition across species and gene groups.

Main Methods:

  • Leveraged RefSeq data to curate a large-scale database.
  • Collected sequence composition data including nucleotide content, codon usage, and amino acid usage.
  • Integrated derived features such as coding potential, physicochemical properties, and phase separation propensity.

Main Results:

  • CompoDynamics contains data for 118,689,747 high-quality CDSs and 34,562 genomes from 24,995 species.
  • The database includes nucleotide content, codon usage, amino acid usage, coding potential, physicochemical properties, and phase separation data.
  • Interactive tools facilitate comparative analysis of sequence composition and molecular features.

Conclusions:

  • CompoDynamics provides a fundamental resource for studying sequence composition dynamics across genes and genomes.
  • The database supports a broad spectrum of biological studies by offering extensive sequence composition data and analytical tools.
  • Facilitates deeper understanding of the roles of sequence composition in biological processes and evolution.