GutMicroNet
GutMicroNet maps species-level co-abundance relationships in the human gut microbiome to support analysis of microbial interactions across geographical origins, genders, and disease states.
Key Features:
- Visualization of interaction networks: Visualizes gut microbiome interaction networks to represent species-level relationships among over 1,900 gut microbiome species.
- Comprehensive data integration: Integrates data from the Human Gut Microbiome Atlas to generate 45 co-abundance networks reflecting different geographical origins, genders, and disease states.
- Co-abundance network analysis: Constructs and analyzes co-abundance networks to infer species-level associations and community structure.
- Multi-species querying with statistical filters: Supports querying multiple species simultaneously and adjusting queries according to statistical properties.
Scientific Applications:
- Microbial interaction studies: Enables analysis of species-level interactions to investigate ecological relationships within the gut microbiome.
- Disease association analysis: Supports comparative analysis of microbiome composition and associations across disease states, genders, and geographical origins.
- Therapeutic target identification: Facilitates identification of candidate microbial species or associations as potential therapeutic targets.
- Personalized-medicine research: Informs personalized medicine approaches by linking microbiome co-abundance patterns to health-related phenotypes.
Methodology:
Integrates Human Gut Microbiome Atlas data and generates 45 species-level co-abundance networks, with capability for multi-species queries and statistical-property-based filtering of associations.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 5/7/2022
- Last Updated:
- 5/7/2022
Operations
Publications
Arif M, Portlock T, Güngör C, Koç E, Özcan B, Subaş O, Çakmak B, Turkez H, Uhlén M, Mardinoglu A, Shoaie S. GutMicroNet: an interactive platform for gut microbiome interaction exploration. Unknown Journal. 2021. doi:10.1101/2021.11.10.468051.