New 3D graphical representation of DNA sequence based on dual nucleotides

Area of Science:

• Bioinformatics
• Computational Biology
• Molecular Genetics

Background:

• DNA sequence analysis is crucial for understanding gene function and evolution.
• Existing methods for comparing DNA sequences can be complex and computationally intensive.
• Visualizing DNA structure can offer new insights into sequence properties.

Purpose of the Study:

• To introduce a new 3D graphical representation for DNA sequences.
• To develop mathematical invariants and vector representations for DNA characterization.
• To apply this novel approach for comparing beta globin gene sequences across different species.

Main Methods:

• A 3D graphical representation of DNA sequences was developed based on dual nucleotide (DN) pairs.
• Mathematical invariants were derived from this 3D representation.
• Two 16-component vectors were constructed using these invariants.
• These vectors were used to analyze and compare the complete coding sequences of the beta globin gene from nine species.

Main Results:

• The 3D DNA representation provides a novel way to visualize sequence data.
• The derived vectors effectively capture sequence characteristics.
• Comparative analysis of beta globin gene sequences revealed distinct similarities and dissimilarities among species.
• The approach demonstrated its utility in phylogenetic and comparative genomics.

Conclusions:

• The 3D graphical representation and associated vector analysis offer a powerful new tool for DNA sequence comparison.
• This method facilitates the quantitative assessment of evolutionary relationships between genes.
• The approach has potential applications in various fields of molecular biology and bioinformatics.