dbCAN2 is an updated meta server for automated carbohydrate-active enzyme (CAZyme) annotation. It integrates three state-of-the-art tools: HMMER for searching against the dbCAN HMM database, DIAMOND for searching against the CAZy pre-annotated CAZyme sequence database, and Hotpep for searching against the conserved CAZyme short peptide database. Combining the results from these tools improves annotation accuracy. dbCAN2 also accepts nucleotide sequence submissions and predicts physically linked CAZyme gene clusters (CGCs), which are useful for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes. CAZymes are crucial for the metabolism of complex carbohydrates and are important in bioenergy, agriculture, and human health. The CAZy database classifies over 360 CAZyme families into six major classes. dbCAN was developed in 2012 as a web server for CAZyme annotation, and dbCAN2 is its updated version. It provides HMMER, DIAMOND, and Hotpep tools for CAZyme annotation, and allows users to submit protein or nucleotide sequences. It also includes a CGC-Finder tool to identify CAZyme gene clusters. dbCAN2 has several new functions, including the ability to submit nucleotide sequences, integrate three state-of-the-art tools for CAZyme annotation, identify transcription factors (TFs), transporters (TCs), and CAZyme gene clusters (CGCs), and visualize results as Venn diagrams and graphs. It also allows users to download results as text files and provides detailed information on CGCs, including genomic locations and domain boundaries. The accuracy of CAZyme annotation is measured using an F-score, which is calculated for each tool. The best performance is achieved by combining the outputs of the three tools and keeping candidates found by at least two tools. dbCAN2 is updated annually to use the most recent CAZy database, dbCAN HMM database, and Hotpep peptide database. It is a valuable online tool for identifying CAZymes in microbial genomes or metagenomes.dbCAN2 is an updated meta server for automated carbohydrate-active enzyme (CAZyme) annotation. It integrates three state-of-the-art tools: HMMER for searching against the dbCAN HMM database, DIAMOND for searching against the CAZy pre-annotated CAZyme sequence database, and Hotpep for searching against the conserved CAZyme short peptide database. Combining the results from these tools improves annotation accuracy. dbCAN2 also accepts nucleotide sequence submissions and predicts physically linked CAZyme gene clusters (CGCs), which are useful for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes. CAZymes are crucial for the metabolism of complex carbohydrates and are important in bioenergy, agriculture, and human health. The CAZy database classifies over 360 CAZyme families into six major classes. dbCAN was developed in 2012 as a web server for CAZyme annotation, and dbCAN2 is its updated version. It provides HMMER, DIAMOND, and Hotpep tools for CAZyme annotation, and allows users to submit protein or nucleotide sequences. It also includes a CGC-Finder tool to identify CAZyme gene clusters. dbCAN2 has several new functions, including the ability to submit nucleotide sequences, integrate three state-of-the-art tools for CAZyme annotation, identify transcription factors (TFs), transporters (TCs), and CAZyme gene clusters (CGCs), and visualize results as Venn diagrams and graphs. It also allows users to download results as text files and provides detailed information on CGCs, including genomic locations and domain boundaries. The accuracy of CAZyme annotation is measured using an F-score, which is calculated for each tool. The best performance is achieved by combining the outputs of the three tools and keeping candidates found by at least two tools. dbCAN2 is updated annually to use the most recent CAZy database, dbCAN HMM database, and Hotpep peptide database. It is a valuable online tool for identifying CAZymes in microbial genomes or metagenomes.