microbetag: simplifying microbial network interpretation through annotation, enrichment tests and metabolic complementarity analysis
Haris ZafeiropoulosiD, Ermis Ioannis Michail DelopoulosiD, Andi EregaiD, Aline Schneider, Annelies GeirnaertiD, John MorrisiD, Karoline FaustiD
Abstract
Microbial co-occurrence network inference is often hindered by low accuracy and tool dependency. We introduce microbetag, a comprehensive software ecosystem designed to enhance network annotation. Nodes (taxa) are enriched with phenotypic traits, while edges represent metabolic complementarities, highlighting potential cross-feeding relationships. microbetags online version relies on microbetagDB, a database of 34,608 high-quality genomes with detailed annotations. A stand-alone tool allows users to apply microbetag to custom reference genomes/bins/MAGs. Additionally, MGG, a CytoscapeApp, offers a streamlined, user-friendly interface for network retrieval and visualization. microbetag effectively identified known metabolic interactions and serves as a robust hypothesis-generating tool.
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