BI Human Reference Epigenome Mapping Project: ChIP-Seq in human subject
The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease. Characterization of chromatin modification by ChIP-Seq in human subject. **************** For data usage terms and conditions, please refer to: http://www.drugabuse.gov/funding/funding-opportunities/nih-common-fund/epigenomics-data-access-po...
Provenance — who produced it, who reused it
Linked to 14 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.
- Genome-wide Chromatin State Transitions Associated with Developm... 2013 · 550 cites
- Epigenetic conservation at gene regulatory elements revealed by... 2013 · 246 cites
- SETD2 loss-of-function promotes renal cancer branched evolution... 2015 · 179 cites
- Epigenomic footprints across 111 reference epigenomes reveal tis... 2015 · 100 cites
- Large DNA Methylation Nadirs Anchor Chromatin Loops Maintaining... 2020 · 95 cites
- Molecular insights into genome-wide association studies of chron... 2018 · 73 cites
8 further papers cite 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