ENCODE Transcription Factor Binding Sites by ChIP-seq from Stanford/Yale/USC/Harvard
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Philip Cayting mailto:«email»). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:«email»). This track shows probable binding sites of the specified transcription factors (TFs) in the given cell types as determined by chromatin immunoprecipitation followed by high throughput sequencing (ChIP-Seq). Included for each cell type is...
Provenance — who produced it, who reused it
Linked to 48 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.
- Cancer-cell-secreted exosomal miR-105 promotes tumour growth thr... 2018 · 480 cites
- R-loops induce repressive chromatin marks over mammalian gene te... 2014 · 390 cites
- Integrator mediates the biogenesis of enhancer RNAs 2015 · 343 cites
- Insulator function and topological domain border strength scale... 2014 · 313 cites
- Genomic modelling of the ESR1 Y537S mutation for evaluating func... 2016 · 178 cites
- A map of cis-regulatory elements and 3D genome structures in zeb... 2020 · 169 cites
- BAP1 complex promotes transcription by opposing PRC1-mediated H2... 2019 · 149 cites
- Mechanisms and Disease Associations of Haplotype-Dependent Allel... 2016 · 140 cites
- Predictive models of subcellular localization of long RNAs 2019 · 118 cites
- Human nuclear Dicer restricts the deleterious accumulation of en... 2014 · 114 cites
- Subtelomeric CTCF and cohesin binding site organization using im... 2014 · 82 cites
- Histone methyltransferase WHSC1 loss dampens MHC-I antigen prese... 2022 · 81 cites
- SeqGL Identifies Context-Dependent Binding Signals in Genome-Wid... 2015 · 77 cites
- Many chronological aging clocks can be found throughout the epig... 2021 · 71 cites
34 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 ChIP-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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.