FunOMIC

FunOMIC enables profiling of the human mycobiome by identifying fungal taxa and annotating fungal functions from human metagenomic samples.

Key Features:

• Extensive Databases: Includes a taxonomic database of 1.6 million marker genes and a functional database with over 3.4 million non-redundant fungal proteins.
• Taxonomic Identification and Profiling: Performs identification of fungi from human metagenomic samples and profiles species diversity and abundance across anatomical sites.
• Functional Annotation: Assigns functional annotations to fungal sequences using the non-redundant fungal protein database.
• Large-Scale Application: Has been applied to over 2,600 human metagenomic samples to detect fungal species associated with specific geographical locations, anatomical sites, and diseases.
• Inter-Kingdom Interaction Analysis: Supports correlation network analysis to investigate interactions between fungi and other microbial kingdoms within the human microbiome.
• Database Integration: Integrates taxonomic and functional databases for combined classification and functional characterization of fungal sequences.

Scientific Applications:

• Microbiome Research: Enables comprehensive analysis of the human mycobiome alongside bacterial microbiomes in metagenomic studies.
• Epidemiology: Identifies geographical patterns of fungal distribution and associations with disease prevalence across populations.
• Clinical Diagnostics: Assists detection and characterization of pathogenic fungi associated with specific diseases in metagenomic datasets.
• Ecological Studies: Supports exploration of inter-kingdom interactions and microbial community structure within the human microbiome.

Methodology:

Processes human metagenomic samples through integrated taxonomic and functional databases to perform classification and functional annotation of fungi and enables correlation network analysis for inter-kingdom interaction investigation.