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.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
93/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This HiSeq 4000 RNA-seq from the bumblebee Bombus impatiens delivered 6.1B bases across 30.7M reads with 98.4% Q20 and 95.6% Q30, supporting deep transcriptome analysis suitable for dissecting gene regulation in social insects. The high read count enables robust quantitation across dynamic expression ranges. Reuse is ideal for developmental and social-behavior transcriptomics; caveat that the sample's biological context (caste, behavior, life stage) constrains generalization.
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