Mapping and analysis of chromatin state dynamics in nine human cell types (gene expression)
Chromatin profiling has emerged as a powerful means for annotating genomic elements and detecting regulatory activity. Here we generate and analyze a compendium of epigenomic maps for nine chromatin marks across nine cell types, in order to systematically characterize cis-regulatory elements, their cell type-specificities, and their functional interactions. We first identify recurrent combinations of histone modifications and use them to annotate diverse regulatory elements including promoters,...
Provenance — who produced it, who reused it
Linked to 9 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.
- MAnorm: a robust model for quantitative comparison of ChIP-Seq d... 2012 · 459 cites
- ISMARA: automated modeling of genomic signals as a democracy of... 2014 · 363 cites
- A benchmark for RNA-seq quantification pipelines 2016 · 219 cites
- ATAC-seq normalization method can significantly affect different... 2020 · 106 cites
5 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently