Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE38596

GEO first seen 2012

Genome-wide maps of cytosine methylation, cytosine hydroxylmethylation and small non coding RNAs in mouse ES cells and upon guided differentiation to mesoendoderm cells

Organism
Mus musculus
Samples
36
Type
Non-coding RNA profiling by...
Submitted
2012-06-08

Genome-wide maps of cytosine methylation, cytosine hydroxylmethylation and small non coding RNAs in mouse ES cells and upon guided differentiation to mesoendoderm cells. Mouse embryonic stem cells (E14) were guided differentiated into mesoendoderm lineages by activin-A induction. cells in three time points (day0, day4 and day6) were collected. The genome-wide studies on three cell types were summerized as following: cytosine methylation data were generated using methylated DNA immunoprecipitatio...

Provenance — who produced it, who reused it

Linked to 4 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
Shu XiaoPengfei YuWei HuangXiaoyun XinChunxiao SongDarina McDeeTetsuya TanakaTing WangChuan HeSheng Zhong
Reused by

2 further papers cite this accession but reuse could not be confirmed.

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