SRX7700175

SRA first seen 2020

Provenance — who produced it, who reused it

Linked to 1 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.

Reused by

1 further paper cites this accession but reuse could not be confirmed.

Deep data QC

79/100 · C

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

What this means

claude:haiku

This NextSeq 500 bulk RNA-seq of Senna tora (plant) generates ~19 million reads (~2.5 Gb) with moderate quality (91.5% Q20, 81.7% Q30), enabling plant gene-expression profiling. The dataset supports agricultural and ethnobotanical research. Researchers seeking plant transcriptomics will find this useful.

Data type / assay

bulk-RNA-seq

Organism

Senna tora

Instrument

NextSeq 500

Platform

ILLUMINA

Read type

short-read

Files available

FASTQ (raw reads)

N numbers (samples, groups)

1 runs

Metrics (value · how obtained)

checksum ok yes reported

total bases 2592659229 reported

total reads 19200293 reported

n content pct 0.001 measured

pct q20 bases 91.5 measured

pct q30 bases 81.7 measured

gc content pct 47.6 measured

mean read length 135 measured

mean base quality 33 measured

adapter content pct 0.08 measured

duplication rate pct 22.69 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 79/100

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

pct q30 bases 81.7 measured ×1 59%

mean base quality 33 measured ×0.6 83%

adapter content pct 0.08 measured ×0.4 100%

duplication rate pct 22.69 measured ×0.4 100%

QC cost 16 s compute

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