as-cle-bert/VirBiCla-training
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 Sources [optional] Repository: GitHub repository for 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… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/VirBiCla-training.
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
- License: MIT License
Dataset Sources [optional]
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- Repository: GitHub repository for 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
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 when using this dataset or the associated model.