RNA-seq from ENCODE/LICR
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Yin Shen mailto:«email»). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:«email»). Using RNA-Seq (Mortazavi et al., 2008), high-resolution genome-wide maps of the mouse transcriptome across multiple mouse (C57Bl/6) tissues and primary cells were generated.
Provenance — who produced it, who reused it
Linked to 8 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.
- Retrotransposons and pseudogenes regulate mRNAs and lncRNAs via... 2014 · 262 cites
- Genome-wide analysis identifies a functional association of Tet1... 2013 · 176 cites
- Long Non-Coding RNAs Control Hematopoietic Stem Cell Function 2015 · 171 cites
- Epigenomic analysis of gastrulation identifies a unique chromati... 2019 · 138 cites
- The transcriptome of mouse central nervous system myelin 2016 · 87 cites
3 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