NetCom
NetCom predicts metabolic activities in microbial communities by using a network-based interpretation of assembled and annotated metagenomic data to link differential enzymatic reaction abundance with pathways, environmental resources, and compound production to elucidate environment–community–function relationships.
Key Features:
- Input Requirements: Accepts lists of differentially abundant enzymatic reactions derived from metagenomic data as the primary input.
- Pathway Associations: Identifies and associates metabolic pathways with enzymes that show differential abundance across conditions.
- Environmental Resource Prediction: Predicts unique environmental resources for each treatment condition and links them to specific metabolic pathways.
- Compound Production Prediction: Forecasts compounds produced by the microbial community and delineates pathway associations for treatment-specific compounds.
- Network Visualization: Produces 2D and 3D network representations including enzymes, environmental resources, and produced compounds, highlighting elements unique to specific treatments.
Scientific Applications:
- Ecological and environmental microbiology: Supports studies that infer community-level metabolic activities from metagenomic enzyme abundance data.
- Rhizosphere and root-specific activity prediction: Predicts root-specific activities and forecasts how soil amendments may impact microbial community functions in rhizospheres.
- Nutrient cycling: Aids investigation of ecosystem functions such as nutrient cycling by linking enzymes and pathways to environmental resources and compounds.
- Plant–microbe interactions: Enables analysis of metabolic processes relevant to plant–microbe interactions through pathway and compound predictions.
Methodology:
Implements a network-based approach that integrates differential abundance information of enzymatic reactions from assembled and annotated metagenomic data to construct metabolic networks linking enzymes, pathways, environmental resources, and produced compounds.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 2/12/2022
- Last Updated:
- 2/12/2022
Operations
Publications
Tal O, Bartuv R, Vetcos M, Medina S, Jiang J, Freilich S. NetCom: A Network-Based Tool for Predicting Metabolic Activities of Microbial Communities Based on Interpretation of Metagenomics Data. Microorganisms. 2021;9(9):1838. doi:10.3390/microorganisms9091838. PMID:34576734. PMCID:PMC8468097.