A data-driven approach to preprocessing Illumina 450K methylation array data
Background: As the most stable and experimentally accessible epigenetic mark, DNA methylation is of great interest to the research community. The landscape of DNA methylation across tissues, through development and in disease pathogenesis is not yet well characterised. Thus there is a need for rapid and cost effective methods for assessing genome-wide levels of DNA methylation. The Illumina Infinium HumanMethylation450 (450K) BeadChip is a very useful addition to the available methods but its co...
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.
- Methylomic profiling implicates cortical deregulation of ANK1 in... 2014 · 612 cites
- DNA extracted from saliva for methylation studies of psychiatric... 2014 · 358 cites
- Correspondence of DNA Methylation Between Blood and Brain Tissue... 2015 · 289 cites
- Recalibrating the epigenetic clock: implications for assessing b... 2020 · 204 cites
- Epigenetic profiling for the molecular classification of metasta... 2018 · 115 cites
- GeMes, Clusters of DNA Methylation under Genetic Control, Can In... 2014 · 112 cites
9 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