DNA Data Visualization (DDV): Software for Generating Web-Based Interfaces Supporting Navigation and Analysis of DNA...

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Scientific research increasingly relies on analyzing large datasets, necessitating effective data visualization tools.
• Existing visualization methods for raw nucleotide sequences of whole genomes or chromosomes are limited.
• Accessible, shareable web-based interfaces for DNA data visualization are needed.

Purpose of the Study:

• To introduce novel software for generating interactive DNA data visualization interfaces.
• To enable researchers to explore and analyze genomic data through intuitive web-based visualizations.
• To facilitate the identification of sequence patterns and genomic features.

Main Methods:

• The software converts DNA datasets into multi-scale images.
• A web-based interface allows for zooming, panning, and sequence fragment selection.
• The tool calculates nucleotide composition frequencies and GC skew for selected segments.

Main Results:

• Generated DNA data visualizations for human and bacterial chromosomes.
• Visually identified features include direct repeats, mobile genetic elements, and heterochromatic segments.
• The software produces readily accessible, web-browser-based visualization interfaces.

Conclusions:

• The developed software provides a novel approach to visualizing raw nucleotide sequences.
• The tool aids in the immediate identification of various sequence patterns in diverse genomes.
• This software serves as a valuable resource for genetics research, structural genomics, and teaching.