PRJNA477449

This is a human bulk RNA-seq dataset (Illumina NextSeq 500, ~811M reads / 61 Gb) that earns a clean A: every metric feeding the score was directly measured (evidence_strength = 1.0), so the grade is fully substantiated rather than provisional. The grade is driven chiefly by base-call quality — 93.5% of bases at Q30 and a mean base quality of 34.3 — which means individual base calls are highly reliable and should support sensitive, low-error alignment and expression quantification, while a measured 0% adapter content indicates the reads are clean and need no further trimming before reuse. The one metric worth a researcher's eye is the 22.47% duplication rate; this did not lower the grade and is unremarkable for RNA-seq, where highly expressed transcripts naturally generate duplicate fragments, but for any analysis sensitive to library complexity (e.g., low-input or allele-specific work) it is worth confirming whether duplicates are biological rather than PCR artifacts. Overall these are trustworthy, high-quality data suitable for standard differential-expression and transcript-quantification reuse.