DEGAP: Dynamic elongation of a genome assembly path

Area of Science:

• Genomics
• Bioinformatics

Background:

• Genome assembly is crucial but challenging, often leaving gaps.
• Current assembly programs struggle with complex genomic regions.
• High-fidelity (HiFi) reads offer improved accuracy and length for genome assembly.

Purpose of the Study:

• To introduce DEGAP, a novel software for filling gaps in genome assemblies.
• To leverage HiFi reads for accurate and efficient gap resolution.
• To improve the completeness of genome assemblies.

Main Methods:

• DEGAP utilizes high-fidelity (HiFi) reads to identify and resolve gaps.
• The software offers 'GapFiller' and 'CtgLinker' modes for gap elimination or shortening.
• An iterative elongation strategy dynamically adjusts parameters based on genome complexity.

Main Results:

• DEGAP successfully identifies differences between reads to fill gaps.
• The software has been applied to decipher complex genomic regions in multiple projects.
• DEGAP demonstrates potential for generating more gap-free genomes.

Conclusions:

• DEGAP is an effective tool for resolving gaps in genome assembly.
• The software's dynamic parameter adjustment optimizes gap-filling strategies.
• DEGAP advancements contribute to achieving more complete and contiguous genome sequences.