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Study Register

All 46 records catalogued during the review (IDs E01-E46), with the stage reached, the decision and the exclusion criterion. Criterion codes are defined in protocol.md.

ID Authors (year) Title / tool Stage Decision Criterion Reason
E01 Liu et al. (2022) RNN-VirSeeker: A Deep Learning Method for Identification of Short Viral Sequences From Metagenomes Full text Included — Meets CI1-CI4
E02 Sukhorukov et al. (2022) VirHunter: A Deep Learning-Based Method for Detection of Novel RNA Viruses in Plant Sequencing Data Full text Included — Meets CI1-CI4
E03 Jiang et al. (2023) Virus classification for viral genomic fragments using PhaGCN2 Full text Included — Meets CI1-CI4
E04 Camargo et al. (2023) Identification of mobile genetic elements with geNomad Full text Excluded CE6 Classifies viruses and plasmids jointly
E05 Wu et al. (2024) Benchmarking bioinformatic virus identification tools using real-world metagenomic data across biomes Full text Included — Meets CI1-CI4
E06 Dong, Chen & Zhao (2024) VirRep: a hybrid language representation learning framework for identifying viruses from human gut metagenomes Full text Included — Meets CI1-CI4
E07 Zhou et al. (2024) GCN-LSTM: A Graph-Based Deep Learning Method for Metagenomic Virus Classification Full text Excluded CE4 Conference proceedings without journal extension
E08 Xia et al. (2026) PhaGCN_Cluster: A Scalable and Robust Framework for Automated Classification and Discovery of Viral Dark Matter from Metagenomes Full text Excluded CI4 Full text not accessible
E09 Santiago-Rodriguez & Hollister (2022) Unraveling the viral dark matter through viral metagenomics Full text Excluded CE3 Literature review without primary data
E10 Galeeva et al. (2025) Bioinformatics Tools and Approaches for Virus Discovery in Genomic Data: A Systematic Review Full text Excluded CE3 Systematic review without primary data; cited as the main related work
E11 Jiang et al. (2025) Illuminating the Virosphere's Dark Matter using Hierarchical Deep Learning Full text Excluded CE4 Preprint, pending peer review
E12 Staple et al. (2025) The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease Full text Excluded CE3 Literature review without primary data
E13 Vasconcelos et al. (2024) Predicting novel mosquito-associated viruses from metatranscriptomic dark matter Screening Excluded — Focus on mosquito-associated viruses only
E14 Montenegro de Campos (2025) Aplicação de algoritmos de aprendizagem de máquina para identificação de vírus em dados provenientes da matéria escura de sequenciamento de última geração Full text Excluded CE4 Master's dissertation
E15 Amgarten (2022) Machine learning prediction in genomic sequences of prokaryotic viruses from metagenomic datasets Full text Excluded CE4 Not peer-reviewed; also flagged as a duplicate
E16 Roev et al. (2023) Unlocking the Viral Universe: Metagenomic Analysis of Bat Samples Using Next-Generation Sequencing Screening Excluded — Focus on bat samples only
E17 Modha (2022) Sequence data mining and characterisation of unclassified microbial diversity Screening Excluded — Excluded at title/keyword screening
E18 Modha et al. (2022) Quantifying and Cataloguing Unknown Sequences within Human Microbiomes Full text Excluded CE1/CE5 Characterisation study without original algorithm
E19 Parekh (2026) Viral dark matter and immune calibration: Metagenomic frontiers in host–virome interactions Full text Excluded CE3 Literature review without primary data
E20 Cissell & McCoy (2023) Top-heavy trophic structure within benthic viral dark matter Full text Excluded CE1/CE5 Ecological study without original algorithm
E21 Gregory et al. (2026) Evolving strategies for virus discovery Full text Excluded CE3 Literature review without primary data
E22 Herbold (2024) EnVhogDB: an extended view of the viral protein families on Earth through a vast collection of HMM profiles Full text Excluded CE4 Open-review preprint
E23 Camargo et al. (2023) IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata Full text Excluded CE7 Database without its own classifier
E24 Krishnamurthy & Wang (2017) Origins and challenges of viral dark matter Full text Excluded CE3 Seminal review without primary data; used in the background
E25 Sinno et al. (2025) Charting the virosphere: computational synergies of AI and bioinformatics in viral discovery and evolution Full text Excluded CE3 Review without primary data; used in the background
E26 Fiamenghi et al. (2026) Meta-virus resource (MetaVR): expanding the frontiers of viral diversity with 24 million uncultivated virus genomes Full text Excluded CE7 Database without its own classifier
E27 Ren et al. (2017) VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data Full text Excluded CI2 Published in 2017; used as historical baseline
E28 Ren et al. (2020) Identifying viruses from metagenomic data using deep learning (DeepVirFinder) Full text Excluded CI2 Published in 2020; used as historical baseline
E29 Guo et al. (2021) VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses Full text Included — Meets CI1-CI4
E30 Richardson et al. (2023) MGnify: the microbiome sequence data analysis resource in 2023 Full text Excluded CE7 Database without its own classifier
E31 Robertson, Consul & Vikalo (2025) NextVir: Enabling classification of tumor-causing viruses with genomic foundation models Full text Included — Meets CI1-CI4
E32 Ye et al. (2026) ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks Full text Excluded CE4 Preprint
E33 Zhou et al. (2023) DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome Full text Excluded CE6 General multi-species genomic model without viral focus
E34 Palukaitis & Murphy (2025) Tobamoviruses: Molecular Aspects and Resistance Regulation—A Special Issue Commemorating 125 Years of Research on Tobamoviruses Full text Excluded CE2 Tobamoviruses only; no generalisable algorithm; used for context in the Introduction
E35 Koonin et al. (2021) Viruses Defined by the Position of the Virosphere within the Replicator Space Screening Excluded — Background reference; not a computational method
E36 Wang et al. (2022) A Game of Infection – Song of Respiratory Viruses and Interferons Screening Excluded — Background reference; not a computational method
E37 Klimina et al. (2026) Bacteriophages in gut metagenomes: from analysis to application Screening Excluded — Excluded at title/keyword screening
E38 Yin et al. (2024) IPEV: identification of prokaryotic and eukaryotic virus-derived sequences in virome using deep learning Full text Included — Meets CI1-CI4
E39 Sullivan et al. (2023) Interrogating the viral dark matter of the rumen ecosystem with a global virome database Full text Excluded CE7 Catalogue without its own classifier
E40 Azzedin et al. (2025) A Hybrid GCN–BERT Model for Read-Level Viral Classification with Potential Threat Detection Full text Excluded CE4 Conference proceedings without journal extension
E41 Li (2026) Transformer-based deep learning for multiclass viral classification in metagenomic sequencing Full text Excluded CE4 Single-author preprint, not peer-reviewed
E42 Chakulya et al. (2026) AI-powered analysis of viral metagenomic sequencing data for rapid outbreak investigation and novel pathogen discovery Full text Excluded CE3 Review without primary data
E43 Khoury et al. (2025) Charting the virosphere: computational synergies of AI and bioinformatics in viral discovery and evolution Full text Excluded CE3 Review without primary data; same title as E25
E44 Bejerman & Debat (2025) An Update on RNA Virus Discovery: Current Challenges and Future Perspectives Full text Excluded CE3 Literature review without primary data
E45 Liu et al. (2026) A global atlas of deep-sea cold seep viruses uncovers extensive genomic novelty and biotechnological potential Screening Excluded — Excluded at title/keyword screening
E46 Wang et al. (2026) Diversity and distinctive characteristics of the global RNA virome in urban and peri-urban environments Full text Excluded CE1/CE5 Environmental virome characterisation without original algorithm

Totals: 46 records, 7 excluded at screening, 39 assessed in full text, 31 excluded, 8 included.