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license: mit
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# Dataset Card for VirBiCla-training
VirBiCla is a ML-based viral DNA detector designed for long-read sequencing metagenomics.
This dataset is a support dataset for training the base ML model.
## Dataset Details
### Dataset Description
- **Curated by:** [Astra Bertelli](https://astrabert.vercel.app/)
- **License:** MIT License
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [GitHub repository for VirBiCla](https://github.com/AstraBert/VirBiCla)
## Uses
This dataset is intended as support for training the base VirBiCla model
## Dataset Structure
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.
Features are:
- Domain
- A, T, C and G proportion
- Percentage of A, T, C and G homopolimeric regions
- Gene density
- Entropy
- Effective Number of Codons (codon usage metrics)
## Dataset Creation
Find everything that is needed for Dataset creation on [VirBiCla website](https://astrabert.github.io/VirBiCla)
## Bias, Risks, and Limitations
The dataset is mainly directed towards amplicon-sequencing and long-read sequencing, which are the best use cases for VirBiCla.
## Citation
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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