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. 2024 Feb 13;3(1):e175. doi: 10.1002/imt2.175

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© 2024 The Authors. iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Metagenomic data analyses using Wekemo Bioincloud platform. The clean data could be analyzed with three different workflows, the reference‐based, the de novo, and the binning. The main software and visualization during assembly, binning, taxonomic analyses, and functional analyses were presented, making it suitable for various purposes or scenarios. The functional analyses include 12 diversity databases. ARDB, Antibiotic Resistance Genes Database; BacMet, Antibacterial Biocide and Metal Resistance Genes; CARD, Comprehensive Antibiotic Resistance Database; CAZy, Carbohydrate‐Active EnZymes; COGs, Clusters of Orthologous Groups of proteins; EC, Enzyme Commission; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MetaCyc, Metabolic Pathway; MGE, Mobile Genetic Element; QS, Quorum Sensing; VFDB, Virulence Factors Database.