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Related Experiment Video

Updated: Sep 9, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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BioVizSeq: an R package for visualization the element on bio-sequences.

Shiqi Zhao1, Runqi Zhang1, Maoqiu He1

  • 1School of Fishery, Zhejiang Ocean University, Zhoushan, China.

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|September 4, 2025
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Summary

BioVizSeq is a new R package for visualizing biological sequence elements. It offers flexible, user-friendly tools for researchers to create publication-quality figures from various data sources.

Keywords:
BioVizSeqbiosequenceelementshinyAppvisualization

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Visualizing functional elements in biological sequences is crucial for annotation and publication.
  • Existing tools often lack the flexibility to meet personalized research needs.
  • The R language offers powerful capabilities for data visualization.

Purpose of the Study:

  • To develop a flexible and user-friendly R package for visualizing biological sequence elements.
  • To provide researchers with tools for integrating diverse annotation data.
  • To facilitate the creation of high-quality figures for scientific publications.

Main Methods:

  • Development of the BioVizSeq R package leveraging R's graphic display advantages.
  • Integration of data from various sources, including GFF/GTF, MEME, SMART, Plantcare, PFAM, and CDD.
  • Implementation of both local and online execution options for accessibility.

Main Results:

  • BioVizSeq enables the visualization of element types and distributions within bio-sequences.
  • The package accommodates data from user-generated sources and popular analysis programs.
  • Offers both general and personalized visualization options for diverse user requirements.

Conclusions:

  • BioVizSeq provides a flexible and accessible solution for visualizing biological sequence annotations.
  • The R package empowers researchers, including those without extensive coding experience, to generate publication-ready figures.
  • Enhances the integration and presentation of functional element data in biological research.