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Multi-species Conserved Sequences02:51

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Updated: Aug 31, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
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CoCoView - A codon conservation viewer via sequence logos.

Beatriz Rodrigues Estevam1, Diego Mauricio Riaño-Pachón1

  • 1Computational, Evolutionary and Systems Biology Laboratory (LabBCES), Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba/SP, Brazil.

Methodsx
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

We developed CoCoView, a new tool for creating codon-level sequence logos from protein-coding DNA sequences. This method offers a more detailed analysis of genetic variations than traditional amino acid-level logos.

Keywords:
Codons representationConsensus sequenceConserved patternsInformation theory

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence logos are vital for visualizing conserved patterns in biological sequences.
  • Existing tools primarily focus on single-residue (amino acid or nucleotide) analysis.
  • This limits the detailed analysis of protein-coding sequences, which can involve synonymous and non-synonymous changes.

Purpose of the Study:

  • To introduce CoCoView, a novel tool for generating sequence logos at the codon level.
  • To enable more accurate analysis of protein-coding sequences by considering codon variations.
  • To provide users with control over data properties and visualization parameters.

Main Methods:

  • Developed CoCoView using the Logomaker Python API.
  • Input: Multiple sequence alignment of protein-coding sequences.
  • Processed sequences by splitting them into codon positions, computing codon frequencies and information content, and plotting the resulting graphics.

Main Results:

  • CoCoView successfully generates codon-level sequence logos.
  • The tool allows for a more nuanced understanding of conservation within coding sequences.
  • User-adjustable parameters include data redundancy, plot type, and color schemes.

Conclusions:

  • CoCoView enhances the analysis of protein-coding sequences by visualizing codon-level conservation.
  • This approach provides insights into synonymous and non-synonymous substitutions.
  • The tool offers a valuable addition to bioinformatics resources for genetic sequence analysis.