FlashWeave

FlashWeave infers direct microbial interactions from large-scale metagenomic abundance data using a probabilistic graphical model framework.

Key Features:

• Probabilistic Graphical Model Inference: Predicts direct microbial associations from compositional abundance data (e.g., OTU tables) using a flexible probabilistic graphical model to distinguish direct from indirect interactions.
• Metadata Integration and Scalability: Incorporates environmental and technical metadata to adjust for confounding effects and efficiently processes large-scale datasets comprising tens of thousands of samples.

Scientific Applications:

• Microbial Ecological Network Reconstruction: Constructs large-scale interaction networks in microbial ecosystems, including human gut microbiome datasets, to study community structure and ecological relationships.

Methodology:

FlashWeave analyzes compositional metagenomic abundance matrices within a probabilistic graphical modeling framework, integrates metadata to control for confounders, and infers statistically supported direct microbial associations to generate ecological interaction networks.