Smash++: an alignment-free and memory-efficient tool to find genomic rearrangements

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• High-throughput sequencing generates vast genomic data, accelerating biological and medical research.
• Studying genomic rearrangements is vital for understanding chromosomal evolution, genetic disorders, and cancer.

Purpose of the Study:

• To introduce Smash++, an alignment-free and memory-efficient computational tool.
• To enable the detection and visualization of small- and large-scale genomic rearrangements between DNA sequences.

Main Methods:

• Smash++ extracts information content from DNA sequences using data compression techniques.
• The Smash++ visualizer generates Scalable Vector Graphics (SVG) images to display rearrangements and their complexity.

Main Results:

• Smash++ accurately identified genomic rearrangements in synthetic and real DNA sequences from diverse species (bacteria, fungi, Aves, Mammalia).
• Detected regions aligned with findings from alignment-based methods and fluorescence in situ hybridization (FISH) analysis.
• The tool's maximum memory usage was approximately 1 GB, ensuring feasibility on standard computers.

Conclusions:

• Smash++ is a reliable and efficient tool for genomic rearrangement analysis.
• Its memory efficiency and accuracy make it suitable for widespread use in biological and medical research.
• The tool aids in the study of genetic variations with implications for disease and evolution.