GT-Pro

GT-Pro performs ultra-rapid reference-based genotyping of prokaryotic single nucleotide polymorphisms (SNPs) in shotgun metagenomes to enable strain-level analyses of microbial populations such as the human gut microbiome.


Key Features:

  • Ultra-Rapid SNP Calling: Employs exact k-mer matches for reference-based SNP calling, reported as two orders of magnitude faster than traditional read alignment while maintaining high accuracy.
  • Input Formats: Accepts shotgun metagenomics sequencing libraries in FASTQ format.
  • Allele-Level Read Counting and Output: Produces a table of counts of reads exactly matching each allele per SNP, with rows containing eight fields: species, SNP ID, contig, contig position, allele 1, allele 2, and coverage for both alleles.
  • Extensive SNP Discovery: Catalogued over 104 million SNPs across 909 human gut species, enabling characterization of global population structure and strain tracking.

Scientific Applications:

  • Microbial diversity and evolution: Enables analysis of genetic variation within prokaryotic communities for studies of microbial diversity and evolution.
  • Population structure analysis: Facilitates characterization of population structure across species and samples using dense SNP catalogs.
  • Genotype–phenotype association: Supports identification of genetic determinants linked to phenotypic variation by providing allele-level genotypes across metagenomes.
  • Pathogen and strain monitoring: Enables tracking of pathogenic strains within complex microbiomes such as the human gut.

Methodology:

Catalogs SNPs from genomes using exact k-mer matches for reference-based SNP calling and counts reads exactly matching each allele, thereby bypassing traditional read alignment.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
C++
Added:
1/18/2021
Last Updated:
1/25/2021

Operations

Publications

Shi ZJ, Dimitrov B, Zhao C, Nayfach S, Pollard KS. Ultra-rapid metagenotyping of the human gut microbiome. Unknown Journal. 2020. doi:10.1101/2020.06.12.149336.