Open Chromatin by DNaseI HS from ENCODE/OpenChrom(Duke University)
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Terry Furey mailto:«email»). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:«email»). These tracks display DNaseI hypersensitivity (HS) evidence as part of the four Open Chromatin track sets. DNaseI is an enzyme that has long been used to map general chromatin accessibility, and DNaseI "hypersensitivity" is a feature of acti...
Provenance — who produced it, who reused it
Linked to 28 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.
- Identification of transcription factor binding sites using ATAC-... 2019 · 510 cites
- Distinct Properties of Cell-Type-Specific and Shared Transcripti... 2013 · 421 cites
- Insulator function and topological domain border strength scale... 2014 · 313 cites
- Modeling gene expression using chromatin features in various cel... 2012 · 295 cites
- Comprehensive Functional Annotation of 77 Prostate Cancer Risk L... 2014 · 196 cites
- Functional assessment of human enhancer activities using whole-g... 2017 · 164 cites
- Bivariate Genomic Footprinting Detects Changes in Transcription... 2017 · 136 cites
- Cell-Selective Adeno-Associated Virus-Mediated <i>SCN1A</i> Gene... 2022 · 120 cites
- Acetylated histone variant H2A.Z is involved in the activation o... 2017 · 93 cites
- Multiple novel prostate cancer susceptibility signals identified... 2015 · 84 cites
- Chromatin accessibility reveals insights into androgen receptor... 2012 · 82 cites
- Capture‐C reveals preformed chromatin interactions between HIF‐b... 2016 · 77 cites
- Explicit DNase sequence bias modeling enables high-resolution tr... 2014 · 77 cites
- Identification of candidate genes for prostate cancer-risk SNPs... 2015 · 76 cites
12 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 ATAC-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