GARM: genome assembly, reconciliation and merging pipeline

Area of Science:

• Genomics
• Bioinformatics

Background:

• DNA sequencing technologies have advanced significantly in quality, read length, speed, and yield, while decreasing in cost.
• Genome assembly remains a significant challenge, particularly when integrating data from multiple sequencing platforms or algorithms.
• Existing software often specializes in specific technologies, and protocols for merging diverse assembly results are scarce.

Purpose of the Study:

• To address the challenge of integrating genome assemblies derived from different sequencing technologies or algorithms.
• To introduce a novel computational pipeline for reconciling and merging disparate genome assembly outputs.

Main Methods:

• Development of a computational pipeline named GARM (Genome Assembler, Reconciliation and Merging).
• The pipeline is designed to handle and merge assembly data from various sources, including different sequencing technologies and assembly algorithms.

Main Results:

• GARM provides a unified approach to combine genome assemblies that would otherwise require technology-specific tools.
• The pipeline facilitates the merging of results from different algorithms or sequencing platforms, improving the overall assembly process.

Conclusions:

• GARM offers a solution for the integration of diverse genome assembly data.
• This pipeline enhances the ability to construct comprehensive genomes by merging outputs from multiple sequencing strategies and assembly methods.