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microbetag: simplifying microbial network interpretation through annotation, enrichment tests, and metabolic
Haris Zafeiropoulos1, Ermis Ioannis Michail Delopoulos2, Andi Erega3
1Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Herestraat 49, Leuven, 3000, Belgium. haris.zafeiropoulos@kuleuven.be.
Abstract:
Microbial co-occurrence network inference is often hindered by low accuracy and tool dependency. We introduce microbetag, a comprehensive software ecosystem designed to annotate microbial networks. Nodes, representing taxa, are enriched with phenotypic traits, while edges are enhanced with metabolic complementarities, highlighting potential cross-feeding relationships. microbetag's online version relies on microbetagDB, a database of 34,608 annotated representative genomes. microbetag can be applied to custom (metagenome-assembled) genomes via its stand-alone version. MGG, a Cytoscape app designed to support microbetag, 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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