SUPER-FOCUS

SUPER-FOCUS performs homology-based functional profiling of unannotated shotgun metagenomic reads to identify and quantify SEED subsystems and their abundances.

Key Features:

• Homology-based profiling: Assigns functions to reads using homology searches within the SEED subsystems framework.
• Reduced SEED database: Uses a reduced SEED reference database to decrease search space while maintaining functional assignment fidelity.
• Subsystem abundance reporting: Reports detected subsystems and profiles their relative abundances within metagenomic datasets.
• Scalability and speed: Optimized for large datasets and longer reads, achieving up to 1000 times faster performance compared to existing tools.
• Empirical validation: Evaluated on more than 70 real metagenomic samples.
• Implementation: Implemented in Python.

Scientific Applications:

• Microbial community functional profiling: Determining the functional potential of microbial communities from shotgun metagenomes.
• Environmental microbiology: Profiling subsystems in soil, water, and other ecosystem-derived metagenomic samples.
• Human microbiome research: Characterizing functional gene content in human-associated microbial communities.
• Ecological and evolutionary studies: Exploring ecological interactions and evolutionary patterns of functional genes across samples.
• Biotechnology discovery: Identifying functional subsystems relevant to biotechnological applications.

Methodology:

Processes unannotated shotgun sequencing reads via an agile homology-based approach that searches against a reduced SEED database to assign SEED subsystems and quantify their abundances; implemented in Python.