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DNA methylomes of Newborns and Nonagenarians
DNA methylation differences between Newborns and Nonagenarians
Provenance — who produced it, who reused it
Linked to 18 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
Holger A HeynManel Esteller
Reused by
- DNA methylation loss in late-replicating domains is linked to mi... 2018 · 452 cites
- An epigenetic clock for gestational age at birth based on blood... 2016 · 312 cites
- DNA methylation levels at individual age-associated CpG sites ca... 2016 · 249 cites
- DeepMAge: A Methylation Aging Clock Developed with Deep Learning 2021 · 158 cites
- DNA Methylation Patterns Separate Senescence from Transformation... 2018 · 122 cites
- DiffVar: a new method for detecting differential variability wit... 2014 · 115 cites
- Removing unwanted variation in a differential methylation analys... 2015 · 103 cites
- An Epigenetic Signature in Peripheral Blood Associated with the... 2014 · 97 cites
- Trends in DNA Methylation with Age Replicate Across Diverse Huma... 2017 · 96 cites
- Maternal blood contamination of collected cord blood can be iden... 2017 · 86 cites
- Novel region discovery method for Infinium 450K <scp>DNA</scp> m... 2013 · 79 cites
7 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.
QC cost
23 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently