Corpus 1,285 assessed · 1,186 scored · 647 reproduced ≥75 · 174 flagged ·∅ 73.9/100
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GSE49581

GEO first seen 2013

RNA-Seq characterization of select lincRNA knockout mouse models

Organism
Mus musculus
Samples
21
Type
Expression profiling by high...
Submitted
2013-08-06

It has become clear that long intergenic noncoding RNAs (lincRNAs) are an important layer of genome regulation. Thousands have been identified in mammals, yet only a few have been tested through genetic ablation in animal models. Of the few that have, many yields weak to unobservable phenotypes, raising the question of their in vivo relevance. To more broadly investigate the functional relevance of lincRNAs in physiological conditions, we developed a collection of 18 lincRNA knockout strains. We...

Provenance — who produced it, who reused it

Linked to 2 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.

Deposited / produced by
Loyal A GoffMartin SauvageauSimona LodatoBoyan BonevAbigail F GroffDiana B SanchezChiara GerhardingerEzgi HacisuleymanEric LiMatthew SpenceMavis SwerdelMichael D'EcclessisJennifer C MooreVenus LaiGuochun GongGeorge D YancopoulosDavid FrendeweyManolis KellisRonald P HartDavid M ValenzuelaPaola ArlottaJohn L Rinn
Reused by

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 32 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently