GSE116920

Single-cell RNA sequencing of proliferative stem cell population from juvenile Schistosoma mansoni worms

The rise of single-cell RNA sequencing (scRNAseq) technologies has enabled researchers to classify cell types, delineate cell developmental trajectories, and measure molecular responses to external perturbations. These technologies all rely on the premise that cell-to-cell variations arising from the biological processes of interest are clearly distinguishable from the intrinsic transcriptional and technical noise. However, for datasets in which the biologically relevant differences between cell...

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.

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently