RolyPoly-tk Data Bundle: reference profiles and sequence sets for virus analyses

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RolyPoly data bundle Date / Bundle Version: 2026-08-19 This deposit contains the custom built and reference (3rd party) data required for all functionality of RolyPoly-tk, an RNA-Virus analysis tool kit. This includes external raw databases, bundled for convinenve, and custom, purpose built datasets only released and tracked here. Note that some of the public databases bundled have been processed and differ from the original (e.g. NCBI ribovirus sequences were masked for low complexity regions). Included here are the HMMer/mmseqs/cmscan profile collections, and all the various supporting sequence sets (rRNA collection, taxonomy mapping, adapter sequences, viral proteins with known functions) used by different commands - the marker protein and nucleic similarity based searches, raw NGS read filtering and processing, and genome annotation. Some of the buncdled datasets (e.g. the mitochodria, plastid, and tRNA sequence collections) are not currently exposed by rolypoly-tk codebase, and are should be treated as auxiliary collections prepared for experimental or future use. N.B. if you use any of the external or 3rd party datasets from this bundle, please cite them directly (bibliography details below). Code Compatibility: v0.7.18 Directory tree data/ ├── README.md ├── contam/ │ ├── adapters/ # adapter sequences used during read filtering │ ├── masking/ # viral nucleotide/protein masking references │ └── rrna/ # rRNA masking references and mapping tables ├── profiles/ │ ├── cm/ # pressed Rfam covariance-model database │ ├── hmmdbs/ # HMMER profile databases │ ├── mmseqs_dbs/ # MMseqs2 profile databases │ ├── genomad_rna_viral_markers_with_annotation.csv.gz │ ├── motif_metadata.json │ ├── NVPC_descriptions.csv.gz │ └── vfam.annotations.tsv.gz ├── reference_seqs/ │ ├── ncbi_virus/ # NCBI taxonomy and RefSeq viral nucleotide databases │ ├── RVMT/ # cleaned RVMT sequence databases │ └── uniref/ # viral UniRef50 subset └── rrna/ # selected rRNA covariance models and cmscan audit tables Disclaimer Parts of this data archive were prepared from publicly available biological databases and reference resources. Before inclusion in RolyPoly, some of these resources were filtered, deduplicated, masked, compressed, converted into the formats required by and compatible with RolyPoly, or enriched with metadata and annotations. In some cases, only selected subsets or curated profiles were retained. It is uploaded here for versioning, sharing, and disclousre, and I can not vouch for using these data outside of rolypoly. We take and hold no responsibility for any outcome of any usage of this archive. Attribution note This archive includes third-party databases and derived products. We do not own these resources and we do not take responsibility for their completeness, accuracy, licensing, or any downstream use. Please respect the original licenses and data-use terms of the underlying sources. When using this archive, users should cite: RolyPoly itself The specific original third-party database(s) used for the relevant data subset Any software tools used to generate, index, or process the data, where applicable Note: rolypoly-tk commands and log files have a citation-reminder feature, that will try to provide you with the exact 3rd party tools and dbs used by the specific command you used. This can be turned on by changing the rpconfig.json file (see configuration). Third-party databases and citations Please cite the relevant original databases and software alongside RolyPoly when using these resources.A complete list of DOIs related to tools and databases is available in all_used_tools_dbs_citations.json Core reference databases RVMT Neri, U., Wolf, Y. I., Roux, S., Camargo, A. P., Lee, B., Kazlauskas, D., Chen, I.-M., Ivanova, N., Zeigler Allen, L., Paez-Espino, D., Bryant, D. A., Bhaya, D., Narrowe, A. B., Probst, A. J., Sczyrba, A., Kohler, A., Séguin, A., Shade, A., Campbell, B. J., Lindahl, B. D., Reese, B. K., Roque, B. M., DeRito, C., Averill, C., Cullen, D., Beck, D. A. C., Walsh, D. A., Ward, D. M., Wu, D., Eloe-Fadrosh, E., Brodie, E. L., Young, E. B., Lilleskov, E. A., Castillo, F. J., Martin, F. M., LeCleir, G. R., Attwood, G. T., Cadillo-Quiroz, H., Simon, H. M., Hewson, I., Grigoriev, I. V., Tiedje, J. M., Jansson, J. K., Lee, J., VanderGheynst, J. S., Dangl, J., Bowman, J. S., Blanchard, J. L., Bowen, J. L., Xu, J., Banfield, J. F., Deming, J. W., Kostka, J. E., Gladden, J. M., Rapp, J. Z., Sharpe, J., McMahon, K. D., Treseder, K. K., Bidle, K. D., Wrighton, K. C., Thamatrakoln, K., Nüsslein, K., Meredith, L. K., Ramirez, L., Buee, M., Huntemann, M., Kalyuzhnaya, M., Waldrop, M. P., Sullivan, M. B., Schrenk, M. O., Hess, M., Vega, M. A., O’Malley, M. A., Medina, M., Gilbert, N. E., Delherbe, N., Mason, O. U., Dijkstra, P., Chuckran, P. F., Baldrian, P., Constant, P., Stepanauskas, R., Daly, R. A., Lamendella, R., Gruninger, R. J., McKay, R. M., Hylander, S., Lebeis, S. L., Esser, S. P., Acinas, S. G., Wilhelm, S. S., Singer, S. W., Tringe, S. S., Woyke, T., Reddy, T. B. K., Bell, T. H., Mock, T., McAllister, T., Thiel, V., Denef, V. J., Liu, W.-T., Martens-Habbena, W., Allen Liu, X.-J., Cooper, Z. S., Wang, Z., Krupovic, M., Dolja, V. V., Kyrpides, N. C., and Koonin, E. V. (2022). The global virome of the ocean. Cell, 185(16), 2879–2894. https://doi.org/10.1016/j.cell.2022.08.023 Rfam Kalvari, I., Nawrocki, E. P., Ontiveros-Palacios, N., Argasinska, J., Lamkiewicz, K., Marz, M., Griffiths-Jones, S., Toffano-Nioche, C., Gautheret, D., Weinberg, Z., Rivas, E., Eddy, S. R., Finn, R. D., and Bateman, A. (2020). Rfam 14: expanded coverage of metagenomic, viral and microRNA families. Nucleic Acids Research, 49(D1), D192–D200. https://doi.org/10.1093/nar/gkaa1047 RefSeq O’Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., Astashyn, A., Badretdin, A., Bao, Y., Blinkova, O., Brover, V., Chetvernin, V., Choi, J., Cox, E., Ermolaeva, O., Farrell, C. M., Goldfarb, T., Gupta, T., Haft, D., Hatcher, E., Hlavina, W., Joardar, V. S., Kodali, V. K., Li, W., Maglott, D., Masterson, P., McGarvey, K. M., Murphy, M. R., O’Neill, K., Pujar, S., Rangwala, S. H., Rausch, D., Riddick, L. D., Schoch, C., Shkeda, A., Storz, S. S., Sun, H., Thibaud-Nissen, F., Tolstoy, I., Tully, R. E., Vatsan, A. R., Wallin, C., Webb, D., Wu, W., Landrum, M. J., Kimchi, A., Tatusova, T., and DiCuccio, M. (2015). Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Research, 44(D1), D733–D745. https://doi.org/10.1093%2Fnar%2Fgkv1189 SILVA Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., and Glöckner, F. O. (2012). The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Research, 41(D1), D590–D596. https://doi.org/10.1093/nar/gks1219 UniRef50 UniProt Consortium. UniProt Reference Clusters (UniRef). https://www.uniprot.org/help/uniref Profile and marker databases geNomad RNA viral markers Camargo, A. P., Roux, S., and others. geNomad: identification of mobile genetic elements and viruses from metagenomes. Nature Biotechnology, 2024. https://doi.org/10.1038/s41587-023-01953-y RdRp-Scan Charon, J., Buchmann, J. P., Sadiq, S., and Holmes, E. C. (2022). RdRp-scan: a bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data. Virus Evolution, 8(2). https://doi.org/10.1093/ve/veac082 NeoRdRp v2.1 Sakaguchi, S., Urayama, S., Takaki, Y., Hirosuna, K., Wu, H., Suzuki, Y., Nunoura, T., Nakano, T., Nakagawa, S., and others. (2022). NeoRdRp: a comprehensive dataset for identifying RNA-dependent RNA polymerases of various RNA viruses from metatranscriptomic data. Microbes and Environments, 37(3). https://doi.org/10.1264/jsme2.ME22001 Pfam Mistry, J., Chuguransky, S., Williams, L., Qureshi, M., Salazar, G. A., Sonnhammer, E. L. L., Tos

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