MiNAA-WebApp: A web-based tool for the visualization and analysis of microbiome networks
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
• MiNAA-WebApp provides a user-friendly, web-based interface for the MiNAA algorithm. • Enables visualization, analysis, and alignment of microbiome networks without coding. • Facilitates accessibility, reproducibility, and interdisciplinary collaboration. Microbial networks, representing microbes as nodes and their interactions as edges, are crucial for understanding community dynamics in various environments. Analyzing microbiome networks is crucial for identifying keystone taxa that play central roles in maintaining microbial community structure and function, assessing how environmental changes such as pollution, climate shifts, or land use affect microbial dynamics, tracking disease progression by revealing alterations in microbial interactions over time, and predicting microbial community responses to interventions such as antibiotics, probiotics, or changes in diet and habitat. The complexity of microbial interactions necessitates the use of computational tools such as the MiNAA-WebApp , available at https://minaa.wid.wisc.edu , which enhances the accessibility of the Microbiome Network Alignment Algorithm ( MiNAA ). Originally, MiNAA ’s command-line interface required programming expertise, which limited accessibility for many users. The web-based MiNAA-WebApp addresses this shortcoming by offering an intuitive interface with visualization tools, allowing easy exploration and analysis of microbial networks. The web app is designed for microbiome networks but is also applicable to other biological networks, broadening its use in computational biology and making network-based research accessible to a wider audience.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- MiNAA-WebApp: A web-based tool for the visualization and analysis of microbiome networks
- Date Crossref
- 01/06/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
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Les institutions déclarées
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