PRJNA858276
BioProjectProvenance — who produced it, who reused it
Linked to 0 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.
No linked papers found in the corpus yet.
Deep data QC
99/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Mouse bulk-RNA-seq on NextSeq 500 generated 341 million reads (51.3 Gb) with 94.1% Q20 and 91.6% Q30, providing good quality for transcript profiling. The 49.6% GC is typical of murine transcriptomes, and 0.271% N-content indicates minor sequencing artifacts; suitable for studying tissue-specific or disease-related gene expression in mouse models.
The A 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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.