SRR13500747

SRA first seen 2021

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

53/100 · F

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

What this means

claude:haiku

HiSeq X Ten WGS of the Bengal tiger (*Panthera tigris tigris*) produces an enormous 215M reads spanning 64.5 Gb but with lower 90.5% Q20 and 80.2% Q30; the exceptional depth offsets quality issues for conservation genomics and population structure studies of this endangered big cat. Search: tiger WGS, *Panthera tigris* genomics, conservation genetics.

Data type / assay

WGS

Organism

Panthera tigris tigris

Instrument

HiSeq X Ten

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 64542661200 reported

total reads 215142204 reported

n content pct 0.007 measured

pct q20 bases 90.5 measured

pct q30 bases 80.2 measured

gc content pct 44.6 measured

mean read length 150 measured

mean base quality 35 measured

adapter content pct 38.22 measured

duplication rate pct 7.04 measured

How this grade was computed

Weighted mean of 3 scored metric(s) → 53/100

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

pct q30 bases 80.2 measured ×1 51%

duplication rate pct 7.04 measured ×0.5 100%

adapter content pct 38.22 measured ×0.4 0%

QC cost 13 s compute

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