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DeepWheat: Predicting the Effects of Genomic Variants on Gene Expression and Regulatory Activities Across Tissues and Varieties in Wheat Using Deep Learning [ATAC-seq]

GEO Series GSE287695. Triticum aestivum. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

ShareScore

20/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
0
Reuse readiness
0
Engagement
8

Topics