Inferring population dynamics from single-cell RNA-sequencing time-series data
This dataset consists of single-cell RNA-seq (Drop-seq) data from thymi of day 14.5 mouse embryos. The sample includes the whole thymus, including mesenchyme, endothelium, epithelium, thymocytes, and other lymphocytes. The mouse is a Rag2-/- knockout.
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.
- Inferring population dynamics from single-cell RNA-sequencing ti... 2019 · 124 cites
Deep data QC
28/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This murine bulk RNA-seq dataset is compromised for most downstream analyses due to poor sequence quality (59.3% Q30, 60.6% Q20), very short 20 bp reads, and high N-content (35.4%), combined with a low mean base quality of 22.1. These metrics indicate either problematic sequencing conditions or degraded input material; reuse should be approached cautiously and may require aggressive quality filtering.
The F 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