lbroetto/VirRes_model: Initial release

Initial Release Software Title VirRes_model: pHMM model for functional annotation of bacterial genomes Description This repository contains a custom pHMM (profile Hidden Markov Model) library designed for the annotation of bacterial protein families associated with virulence, antimicrobial resistance, pathogenicity, and persistence mechanisms. The model comprises 480 carefully selected pHMMs, each representing a distinct bacterial protein family with functional relevance to bacterial survival and adaptation mechanisms under stress in pathogenic and environmental bacteria. The profiles were sourced from well-curated public databases via the InterPro resource, including NCBIFAM, Pfam, PANTHER, SUPERFAMILY, and TIGRFAMs, ensuring high-quality, domain-specific signatures for sensitive and specific genome mining. These models enable deep, homology-based functional annotation of bacterial genomes, supporting genome mining and comparative genomics studies focused on microbial adaptation traits. Contents: | Directory/File | Description | |----------------|-------------| | VirRes_model.hmm.gz | Model consisting of custom pHMMs library | | LICENSE | GNU GPLv3 license | | README.md | This documentation | Citation Broetto, L. (2026). VirRes_model: pHMM model for functional annotation of bacterial genomes (v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zzenodo.TO_BE_ASSIGNED or @software{broetto_phmm_library_2026, author = {Leonardo Broetto}, title = {{VirRes_model: pHMM model for functional annotation of bacterial genomes}, month = jan, year = 2026, publisher = {Zenodo}, version = {v1.0.0}, } DOI Notice DOI assigned by Zenodo upon processing. This release will receive a permanent DOI from Zenodo shortly. Once assigned, the DOI will be available in this repository's README.md and on the Zenodo record page. The GitHub release itself remains as a historical snapshot and will not be updated with the final DOI. Check README.md for the active DOI. License GNU General Public License v3.0