RNA-seq from ENCODE/Caltech
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (mailto:«email» for data coordination/informatics/experimental questions, mailto:«email» for informatics questions, mailto:«email» for experimental questions). 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. RNA-seq is a method for mapping and quantifying the tran...
Provenance — who produced it, who reused it
Linked to 10 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.
- Chrom3D: three-dimensional genome modeling from Hi-C and nuclear... 2017 · 217 cites
- Efficient and Allele-Specific Genome Editing of Disease Loci in... 2014 · 175 cites
- POINT technology illuminates the processing of polymerase-associ... 2021 · 102 cites
- The landscape of human mutually exclusive splicing 2017 · 75 cites
5 further papers cite this accession but reuse could not be confirmed.
Deep data QC
82/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-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