Scoary2

Scoary2 links phenotypic multi-omics data with microbial pan-genomes through ultra-fast microbial genome-wide association studies (mGWAS).

Key Features:

• High-dimensional phenotypic data integration: Scoary2 captures and links high-dimensional phenotypic data from omics technologies to genomic data.
• Large dataset handling: Scoary2 enables the study of large phenotypic datasets using mGWAS.
• Performance optimization: Scoary2 offers improved performance over previous approaches for microbial GWAS.

Scientific Applications:

• Bacterial gene function discovery: Scoary2 links phenotypic and genomic data to help characterize the 40-60% of bacterial genes that remain undescribed.
• Food microbiology: Scoary2 was used to explore the metabolome of yogurts produced with different Propionibacterium reichii strains.
• Metabolism research: Scoary2 identified two genes affecting carnitine metabolism in Propionibacterium reichii.

Methodology:

Scoary2 performs microbial genome-wide association studies (mGWAS) to associate phenotypic multi-omics data with microbial pan-genomes.