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bioRxiv · 10.1101/2024.10.01.616208

microbetag: simplifying microbial network interpretation through annotation, enrichment tests and metabolic complementarity analysis

Zafeiropoulos, H.·Michail Delopoulos, E. I.·Erega, A.·Schneider, A.·Geirnaert, A.·Morris, J.·Faust, K.
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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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Zafeiropoulos, H., Michail Delopoulos, E. I., Erega, A., Schneider, A., Geirnaert, A., Morris, J., Faust, K.. 2024-10-03. microbetag: simplifying microbial network interpretation through annotation, enrichment tests and metabolic complementarity analysis. https://doi.org/10.1101/2024.10.01.616208

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