meta-pipeline-FuncAnno database bundle v1.1

Pre-built annotation database bundle for meta-pipeline-FuncAnno, a Snakemake-based functional annotation pipeline for prokaryotic metagenome-assembled genomes (MAGs). ## Contents (10 databases) | Database | Version | Models/Sequences | Description | |----------|---------|-----------------|-------------| | KofamScan | 2026-04-11 | 27,576 | KEGG Orthology HMM profiles with adaptive thresholds | | Pfam-A | 2026-04-11 | 27,481 | Protein domain families with gathering thresholds | | TIGRFAM | 15.0 | 4,488 | Functionally equivalent protein families (equivalogs) | | dbCAN | V14 | 875 | CAZyme family HMM profiles | | HMSS2 | 2026-04-11 | 363 | Sulfur metabolism HMM profiles (inorganic + organic) | | CAMPER | 2026-04-11 | 289 | Polyphenol metabolism HMM profiles | | TCDB | 2026-04-11 | 24,281 | Transporter Classification Database (DIAMOND) | | VFDB | 2026-04-11 | 4,538 | Virulence Factor Database core dataset (DIAMOND) | | AMRFinderPlus | 2026-03-24.1 | — | NCBI antimicrobial resistance gene database | | DefenseFinder | 2.0.1 | — | Anti-phage defense system models (MacSyFinder) | ## Changes from v1.0 - HMM databases re-chunked to 128 chunks (from 10) for better parallelism on HPC systems - HMSS2: deduplicated HMMs with v2 models preferred over originals ## Usage Download and extract: meta-pipeline-funcanno db update --version 1.1 Or manually: tar xzf meta-pipeline-FuncAnno-db-v1.1.tar.gz Point the pipeline to the database: meta-pipeline-funcanno annotate -i orfanno_results/ -o results/ --db-dir /path/to/meta-pipeline-FuncAnno-db-v1.0/ The extracted directory can be shared across users on an HPC system. Only one install is needed per lab/group. ## Chunking Large HMM databases (KofamScan, Pfam, TIGRFAM, dbCAN) are pre-split into 128 chunks for parallel hmmsearch. Use `meta-pipeline-funcanno db rechunk --cores N` to re-split for a different core count. ## Licensing KofamScan (KEGG) profiles are for academic use only. See https://www.kegg.jp/kegg/legal.html. All other databases are freely available for academic use.