Parsnp 2.0: scalable core-genome alignment for massive microbial datasets.

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• The number of microbial reference genomes has rapidly increased since 2016.
• Multiple genome alignment is crucial for comparative genomics but requires scalable methods.
• Parsnp, a scalable multiple genome alignment tool, has not had a major release since 2014.

Purpose of the Study:

• To address the need for updated scalable multiple genome alignment tools.
• To introduce Parsnp v2, an improved version of the Parsnp software.
• To enhance Parsnp's performance and user control for analyzing large genomic datasets.

Main Methods:

• Development of Parsnp v2, an updated multiple genome alignment tool.
• Introduction of a partitioning option for parallel processing of genomic data.
• Evaluation of Parsnp v2 on large datasets of bacterial and viral genomes.

Main Results:

• Parsnp v2 offers significantly improved performance over the original release.
• The partitioning option reduces memory usage by over 4x and runtime by over 2x.
• Parsnp v2 maintains precise core-genome alignment and is robust to assembly artifacts.

Conclusions:

• Parsnp v2 provides a scalable and efficient solution for multiple genome alignment.
• The new partitioning feature enhances usability and performance for large-scale genomic analyses.
• Parsnp v2 is a valuable update for researchers working with extensive microbial genomic data.