Table 1 R/Bioconductor packages for the processing and analysis of array-based DNA methylation data
From: Review of processing and analysis methods for DNA methylation array data
DNA methylation processing/analysis step | R/Bioconductor packages |
---|---|
Quality control samples | IMA, HumMethQCReport, methylkit, MethyLumi, preprocessing and analysis pipeline, minfi |
Quality control probes | IMA, HumMethQCReport, lumi, LumiWCluster, preprocessing and analysis pipeline, wateRmelon |
Background correction | Limma, lumi, MethyLumi, minfi, preprocessing and analysis pipeline |
Normalisation | Combata, HumMethQCReport, lumi, minfi, TurboNorm, MethyLumi, wateRmelon |
Type 1 and 2 probe scaling | IMA, minfi, wateRmelon |
Batch/plate/chip/confounder adjustment | Combata, CpGassoc, ISVA, MethLAB |
Data dimension reduction | MethyLumi |
Differential methylation analysis/region-based analysis | CpGAssoc, IMA, limma, methylkit, MethLAB, MethVisual, minfi, EVORA |
Clustering/profile analysis | Lumi, ISVA, HumMeth27QCReport, methylkit, RPMM, SS-RPMMb |
Multiple testing correction | CpGAssoc, methylkit, MethLAB, NHMMfdr |