Polymer Physics Predicts the Effects of Structural Variants on Chromatin Architecture (mouse)
Structural variants (SVs) can result in changes in gene expression due to abnormal chromatin folding and consecutive disease. However, the prediction of such effects remains a challenge. Here we present a polymer physics based approach (PRISMR) to model chromatin folding and to predict enhancer-promoter contacts. Using the Epha4 locus as a model, the effects of pathogenic SVs were predicted in-silico and compared to published Hi-C and capture Hi-C data generated from mouse limb buds and patient-...
Provenance — who produced it, who reused it
Linked to 3 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.
- In vivo dissection of a clustered-CTCF domain boundary reveals d... 2022 · 85 cites
- Quantitative prediction of enhancer–promoter interactions 2019 · 78 cites
1 further paper cites this accession but reuse could not be confirmed.
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
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