Robust Hi-C maps of enhancer-promoter interactions reveal the function of non-coding genome in neural development and diseases
Despite recent progress in mammalian 3D genome studies, it remains experimentally and computationally challenging to identify chromatin interactions genome-wide. Here we developed a highly efficient “easy Hi-C” (eHi-C) protocol that generates high-yield libraries with 0.1 million cells. After rigorous bias-correction with a significantly improved Hi-C analysis pipeline, we can directly recognize the dynamic long- and short-range chromatin loops from contact heatmaps. We compared 10 ultra-deep Hi...
Provenance — who produced it, who reused it
Linked to 2 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.
- The cis-regulatory effects of modern human-specific variants 2021 · 77 cites
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently