BI Human Reference Epigenome Mapping Project
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 the reference epigenome in humans by use of ChIP-Seq in a diverse panel of ES cells, tissue stem cells, reprogrammed stem cells, primary cells and tissues **************** For data usage terms and conditions, please refer...
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
- Targeting pyrimidine synthesis accentuates molecular therapy res... 2019 · 201 cites
- Synergistic action of master transcription factors controls epit... 2016 · 126 cites
- MYC-Regulated Mevalonate Metabolism Maintains Brain Tumor–Initia... 2017 · 118 cites
- Distinctive epigenomes characterize glioma stem cells and their... 2018 · 104 cites
- Epigenomic footprints across 111 reference epigenomes reveal tis... 2015 · 100 cites
- Trans effects of chromosome aneuploidies on DNA methylation patt... 2015 · 92 cites
7 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