Understaning mechanisms underlying human gene expression variation with RNA sequencing
Understanding the genetic mechanisms underlying natural variation in gene expression is a central goal of both medical and evolutionary genetics, and studies of expression quantitative trait loci (eQTLs) have become an important tool for achieving this goal. While all eQTL studies to date have assayed mRNA levels using expression microarrays, recent advances in RNA sequencing enable the analysis of transcript variation at unprecedented resolution. We sequenced RNA from 69 lymphoblastoid cell lin...
Provenance — who produced it, who reused it
Linked to 16 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 Genetic Variants That Affect Histone Modificat... 2013 · 497 cites
- Polymorphic tandem repeats within gene promoters act as modifier... 2016 · 179 cites
- Genes That Escape X-Inactivation in Humans Have High Intraspecif... 2013 · 140 cites
- Epigenetic modifications are associated with inter-species gene... 2014 · 94 cites
- Differential expression analysis for RNAseq using Poisson mixed... 2017 · 85 cites
- De novo genes with an lncRNA origin encode unique human brain de... 2023 · 77 cites
10 further papers cite this accession but reuse could not be confirmed.
Deep data QC
35/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F 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