geoopen

Transcriptome analysis reveals important alkali-responsive genes and key pathways in rice under alkaline stress

GEO Series GSE104928. Oryza sativa. 12 samples. Type: Expression 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

Oryza sativa Expression profiling by high throughput sequencing GEO gene expression

Dataset details

Repository: geo
Published: July 12, 2018
License: GEO-Open
DOI: geo/GSE104928

Scored with release 0.9.0

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