Efficient iterative Hi-C scaffolder based on N-best neighbors

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Genome assembly requires efficient scaffolding tools for reference-quality results.
• Long-read sequencing alone often insufficient for eukaryotic chromosome-scale assemblies.
• Hi-C sequencing technology captures genome-wide contact profiles, aiding scaffolding.

Purpose of the Study:

• To develop a novel Hi-C based scaffolding tool for improved genome assembly.
• To address limitations of existing tools, such as requiring prior chromosome number or lacking scaffold continuity.

Main Methods:

• Developed pin_hic, a Hi-C based scaffolding tool.
• Utilized iterative graph construction based on N-best neighbors of contigs.
• Incorporated misjoin identification and correction for enhanced accuracy.

Main Results:

• pin_hic demonstrated higher efficiency compared to state-of-the-art tools.
• Generated significantly more continuous scaffolds across three different species.
• Achieved comparable or higher accuracy in genome scaffolding.

Conclusions:

• pin_hic is an efficient Hi-C based tool for building chromosome-scale assemblies.
• The tool can be valuable for ongoing and future sequencing projects.
• Contributes to advancing the field of genome assembly and analysis.