Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE26357

GEO first seen 2012

Genome-wide profiling of small RNAs in rice under abiotic stresses

Organism
Oryza sativa
Samples
4
Type
Non-coding RNA profiling by...
Submitted
2010-12-29

To identify novel miRNA and NAT-siRNAs that are associated with abiotic stresses in rice, we generated small RNA sequences from inflorescences from rice under control and under dought, salt, and cold stress treatments. Over 30 million reads were generated.

Provenance — who produced it, who reused it

Linked to 3 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Deposited / produced by
Blanca E Barrera-FigueroaRenyi LiuWeixiong ZhangHailing JinJian-kang Zhu
Reused by

2 further papers cite this accession but reuse could not be confirmed.

Deep data QC

100/100 · A

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured

Data type / assay
amplicon
Organism
Oryza sativa Japonica Group
Metrics (value · how obtained)
n content pct 0.79 measured
pct q20 bases 93.3 measured
pct q30 bases 90.9 measured
gc content pct 45.6 measured
mean read length 36 measured
mean base quality 37.3 measured
adapter content pct 0 measured
duplication rate pct 22.16 measured
How this grade was computed
Weighted mean of 2 scored metric(s) → 100/100

The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published amplicon thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 90.9 measured ×1 100%
adapter content pct 0 measured ×0.5 100%
QC cost 30 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0