ENCODE Cold Spring Harbor Labs Long RNA-seq (hg19)
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Carrie Davis mailto:«email» (experimental), Alex Dobin mailto:«email» (computational), Felix Schlesinger mailto:«email» (computational), Tom Gingeras mailto:«email» (primary investigator), and Roderic Guigo's group mailto:«email» at the CRG). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:«email»). These tracks were generate...
Provenance — who produced it, who reused it
Linked to 26 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.
- STAR: ultrafast universal RNA-seq aligner 2012 · 56,050 cites
- A comparative encyclopedia of DNA elements in the mouse genome 2014 · 1,914 cites
- A common haplotype lowers PU.1 expression in myeloid cells and d... 2017 · 471 cites
- Measuring error rates in genomic perturbation screens: gold stan... 2014 · 463 cites
- Long noncoding RNAs are rarely translated in two human cell line... 2012 · 388 cites
- Widespread intron retention diversifies most cancer transcriptom... 2015 · 363 cites
- Finding the active genes in deep RNA-seq gene expression studies 2013 · 278 cites
- U1 snRNP regulates chromatin retention of noncoding RNAs 2020 · 244 cites
- Predictive models of subcellular localization of long RNAs 2019 · 118 cites
- Combinatorial CRISPR-Cas9 Metabolic Screens Reveal Critical Redo... 2018 · 102 cites
- The landscape of human mutually exclusive splicing 2017 · 75 cites
13 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
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.