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license: mit
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license: mit
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---
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# Dataset Card for VirBiCla-training
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VirBiCla is a ML-based viral DNA detector designed for long-read sequencing metagenomics.
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This dataset is a support dataset for training the base ML model.
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## Dataset Details
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### Dataset Description
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- **Curated by:** [Astra Bertelli](https://astrabert.vercel.app/)
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- **License:** MIT License
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [GitHub repository for VirBiCla](https://github.com/AstraBert/VirBiCla)
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## Uses
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This dataset is intended as support for training the base VirBiCla model
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## Dataset Structure
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Dataset is a CSV file composed of 60.003 record sequences (coming from RefSeq 16S bacterial rRNA, 18S fungal rRNA, SSU eukaryotic rRNA and RefSeq viral genomes) evaluated on 13 features.
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Features are:
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- Domain
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- A, T, C and G proportion
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- Percentage of A, T, C and G homopolimeric regions
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- Gene density
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- Entropy
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- Effective Number of Codons (codon usage metrics)
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## Dataset Creation
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Find everything that is needed for Dataset creation on [VirBiCla website](https://astrabert.github.io/VirBiCla)
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## Bias, Risks, and Limitations
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The dataset is mainly directed towards amplicon-sequencing and long-read sequencing, which are the best use cases for VirBiCla.
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## Citation
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Please consider cite the author of this work (Astra Bertelli) and VirBiCla [GitHub repository](https://github.com/AstraBert/VirBiCla) when using this dataset or the associated model.
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