Genome-wide Analysis of Chromatin Interactions in Human Cells
Millions of cis-regulatory sequences have recently been found in the human genome, but the function of most cis-elements are not yet clear, in part due to the difficulty in determining their regulatory targets, which are often located millions of base pairs away and separated by one or more unrelated genes. To address this problem, the Hi-C method has been developed to identify long-range looping interactions in a genome-wide, unbiased fashion. However, current data analysis of Hi-C datasets ca...
Provenance — who produced it, who reused it
Linked to 16 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.
- A high-resolution map of the three-dimensional chromatin interac... 2013 · 1,296 cites
- Insertions and Deletions Target Lineage-Defining Genes in Human... 2017 · 140 cites
- Predicting chromatin organization using histone marks 2015 · 116 cites
- HiTAD: detecting the structural and functional hierarchies of to... 2017 · 105 cites
- New insights on human essential genes based on integrated analys... 2019 · 100 cites
- iRNA-seq: computational method for genome-wide assessment of acu... 2015 · 89 cites
10 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