geoopen

Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases

GEO Series GSE196235. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

ShareScore

24/100

Overall dataset sharing score

Score breakdown

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

Stewardship: 4
Harmonization: 8
Access: 4
Reuse readiness: 0
Engagement: 8

Topics

Homo sapiens Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing GEO gene expression

Dataset details

Repository: geo
Published: March 9, 2022
License: GEO-Open
DOI: geo/GSE196235

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Scored with release 0.9.0

Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases

Score breakdown

Topics

Dataset details

Your academic CV and NIH biosketch