ChIP-seq Accurately Predicts Tissue-Specific Activity of Enhancers
Determining the spatial and temporal activity patterns of enhancers remains a challenge in the functional annotation of the human genome. Here, we performed genome-wide mapping of tissue-specific in vivo binding sites for the enhancer-associated protein p300 and assessed in transgenic mice the utility of this information in identifying enhancers and predicting their activity patterns. Chromatin immunoprecipitation followed by massively-parallel sequencing was used to identify p300-enriched sit...
Provenance — who produced it, who reused it
Linked to 4 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.
- Clustering of Tissue-Specific Sub-TADs Accompanies the Regulatio... 2013 · 191 cites
- Activation of Neuronal Gene Expression by the JMJD3 Demethylase... 2014 · 134 cites
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published ChIP-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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.