Maast

Maast performs SNP genotyping of microbial strains by selecting representative conspecific genomes and applying whole-genome alignment combined with k-mer exact matching to enable scalable population genetic analyses.


Key Features:

  • Representative genome selection: Heuristically identifies a minimal set of diverse conspecific genomes from available data to reduce redundancy.
  • SNP panel construction: Constructs species-specific SNP panels tailored to the curated representative genomes.
  • Hybrid genotyping approach: Integrates whole-genome alignment with k-mer exact matching for SNP identification.
  • Scalability: Enables genotyping across thousands of microbial strains while addressing conspecific redundancy.
  • High specificity and speed: Employs k-mer exact matching to provide precise and rapid SNP calls.
  • Population genetic meta-analysis: Facilitates large-scale population genetic analyses across many strains.

Scientific Applications:

  • Helicobacter pylori genotyping: Genotyping thousands of Helicobacter pylori strains to analyze within-species variation.
  • SARS-CoV-2 diversification tracking: Tracking diversification patterns of SARS-CoV-2 to study viral evolution and spread.
  • Microbial population genetics and epidemiology: Enabling studies of pathogen evolution, transmission dynamics, and identification of potential therapeutic targets.

Methodology:

Heuristically selects a minimal representative set of conspecific genomes, constructs species-specific SNP panels, and performs genotyping using whole-genome alignment combined with k-mer exact matching.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool, workflow
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, C++
Added:
3/6/2024
Last Updated:
11/24/2024

Operations

Publications

Shi ZJ, Nayfach S, Pollard KS. Maast: genotyping thousands of microbial strains efficiently. Genome Biology. 2023;24(1). doi:10.1186/s13059-023-03030-8. PMID:37563669. PMCID:PMC10416524.

PMID: 37563669
Funding: - National Heart, Lung, and Blood Institute: HL160862