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ProRiboGen Datasets
Supporting data for ProRiboGen (protein-conditioned RNA generation): RBP–RNA training/test splits, motif logos / HOMER matrices, CLIP / generated evaluation sets, reviewed RBP catalogs, and cross-species resources.
- Code: github.com/yuhuaJiao-tky/ProRiboGen
- Model weights: yuhuajiaotky/ProRiboGen-weights
Dataset structure
train_test/
337_RBPs_split/
CLIP_Generated_test_logos/
CLIP_test_fasta/
CLIP_test_motif_matrix/
Generated_test_fasta/
Generated_test_motif_matrix/
ProRiboGen_CLIP_validation/
A1CF/
experimental/
generated/
NELFE/
experimental/
generated/
YBX1/
experimental/
generated/
reviewed_RBPs/
reviewed_11_species_RBPs/
reviewed_1492_human_RBPs/
cross_species_RBPs/
A.thaliana/ Chicken/ Fly/ Frog/ Macaque/ Mouse/
Orangutan/ Rat/ Worm/ Yeast/ Zebrafish/
README.md
| Path | Description |
|---|---|
train_test/337_RBPs_split/ |
Train/test RBP–RNA tables (ProRiboGen_train_RBP-RNA.csv, ProRiboGen_test_RBP-RNA.csv) and train_test_RBPs.xls |
train_test/CLIP_* |
CLIP evaluation FASTA, motif matrices, and logos |
train_test/Generated_* |
Generated evaluation FASTA and motif matrices |
ProRiboGen_CLIP_validation/ |
In-house CLIP validation for A1CF, NELFE, YBX1: each has experimental/ (wet-lab sequences, motifs, logos) and generated/ (ProRiboGen-generated sequences, motifs, logos) for paired comparison |
reviewed_RBPs/reviewed_1492_human_RBPs/ |
Reviewed human RBPs: motifs/, homer_motif_matrix/ |
reviewed_RBPs/reviewed_11_species_RBPs/ |
Multi-species reviewed RBPs: motifs/, homer_motif_matrix/ |
cross_species_RBPs/ |
Per-species folders with fasta/, motifs/, homer_motif_matrix/ |
Train/test CSV columns (train_test/337_RBPs_split/)
p_id, protein, rna, r_id, s, t, score, type, p_len, r_len
Download
hf download yuhuajiaotky/ProRiboGen-datasets \
--repo-type dataset \
--local-dir ./ProRiboGen_dataset
Related resources
| Resource | Link |
|---|---|
| Code | https://github.com/yuhuaJiao-tky/ProRiboGen |
| Weights | https://huggingface.co/datasets/yuhuajiaotky/ProRiboGen-weights |
Citation
If you use this dataset, please cite the ProRiboGen paper / repository (update with the final citation when available).
@software{ProRiboGen,
title = {ProRiboGen: Protein-conditioned RNA generation},
author = {Jiao, Yuhua and collaborators},
url = {https://github.com/yuhuaJiao-tky/ProRiboGen},
year = {2026}
}
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