DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Richard Sandstrom mailto:«email»). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:«email»). This track is produced as part of the ENCODE Project. This track shows DNaseI sensitivity measured genome-wide in different cell lines using the Digital DNaseI methodology (see below), and DNaseI hypersensitive sites. DNaseI has long...
Provenance — who produced it, who reused it
Linked to 22 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
- Comprehensive Functional Annotation of 77 Prostate Cancer Risk L... 2014 · 196 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
- FOCS: a novel method for analyzing enhancer and gene activity pa... 2018 · 88 cites
- Multiple novel prostate cancer susceptibility signals identified... 2015 · 84 cites
- SeqGL Identifies Context-Dependent Binding Signals in Genome-Wid... 2015 · 77 cites
- Identification of candidate genes for prostate cancer-risk SNPs... 2015 · 76 cites
10 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