PRJNA414349

BioProject first seen 2018

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

66/100 · D

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

What this means

claude:haiku

NextSeq 500 miRNA-Seq of Mus musculus with 166 million short reads and 8.32 Gb at high quality (94.6% Q20, 92.6% Q30, 51.3% GC). Enables comprehensive microRNA expression profiling and dysregulation detection in mouse disease models.

Data type / assay

bulk-RNA-seq

Organism

Mus musculus

Instrument

NextSeq 500

Platform

ILLUMINA

Read type

short-read

Files available

FASTQ (raw reads)

N numbers (samples, groups)

18 runs

Metrics (value · how obtained)

checksum ok yes reported

total bases 8322252150 reported

total reads 166445043 reported

n content pct 0.001 measured

pct q20 bases 94.6 measured

pct q30 bases 92.6 measured

gc content pct 51.3 measured

mean read length 50 measured

mean base quality 33.9 measured

adapter content pct 70.7 measured

duplication rate pct 75.8 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 66/100

The D 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 92.6 measured ×1 100%

mean base quality 33.9 measured ×0.6 98%

adapter content pct 70.7 measured ×0.4 0%

duplication rate pct 75.8 measured ×0.4 0%

QC cost 40 s compute

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