PRJDB6460

This is a deeply sequenced bulk-RNA-seq dataset (~1.07 billion HiSeq 1500 reads from the firefly Aquatica lateralis) that earns a well-founded grade A, with the score resting on directly measured QC metrics rather than extrapolation (evidence_strength=1), so the reading is firm rather than provisional. The grade is driven up by excellent base quality—98.6% of bases at Q30 and a mean base quality of 38.8, indicating very few sequencing errors—alongside negligible adapter contamination (0.01%), all of which support reliable read mapping and transcript quantification. The only metric pulling the score down is a duplication rate of 32.06%, which is typical-to-moderate for deep RNA-seq (where highly expressed transcripts are legitimately resampled) but does flag that effective library complexity is somewhat reduced, something worth checking if you intend to call lowly expressed transcripts or do duplicate-sensitive analyses. Overall these data are trustworthy for standard expression and differential-expression reuse; just deduplicate or interpret expression of rare transcripts with the duplication level in mind.