PRJEB21092

This is bulk human RNA-seq from an older Illumina Genome Analyzer II run, and it earns a clear fail: the per-base quality is the dominant problem, with only 51.8% of bases reaching Q30 and a mean base quality of just 22.4, both scoring 0 and signaling a roughly 1-in-170 error rate that will inflate false variant calls and corrupt the precise per-base counts RNA-seq quantification depends on. Secondary drags are a 52.6% duplication rate, which for RNA-seq points to low library complexity or heavy PCR amplification that biases expression estimates, and 12.98% adapter contamination that will require aggressive trimming before any alignment. Note that the most reliable numbers here — the quality, duplication, adapter, and GC metrics — were actually measured (evidence_strength reflects that the headline base counts are merely reported), so the failing grade rests on real measurements rather than extrapolation. Reuse is not recommended for variant or allele-specific work; at most it could support coarse, well-replicated differential-expression analysis after stringent trimming and duplicate handling, with results treated cautiously.