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Extracting CpG annotations
epzjlm edited this page Sep 13, 2023
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Meffil has annotations implemented for the 450k and EPIC arrays. The positions are based on hg19, b37.
meffil.list.featuresets()
#[1] "450k" "common" "epic" "epic2"
y<-meffil.get.features("epic")
head(y)
## type target name chromosome position meth.dye
##1 ii methylation cg07881041 chr19 5236016 G
##2 i methylation cg18478105 chr20 61847650 G
##3 ii methylation cg23229610 chr1 6841125 G
##4 ii methylation cg03513874 chr2 198303466 G
##5 i methylation cg09835024 chrX 24072640 R
##6 ii methylation cg05451842 chr14 93581139 G
## cpg.island.name relation.to.island snp.exclude
##1 chr19:5237294-5237669 N_Shore FALSE
##2 chr20:61846843-61848103 Island FALSE
##3 chr1:6844313-6846366 N_Shelf FALSE
##4 chr2:198299244-198299972 S_Shelf FALSE
##5 chrX:24072558-24073135 Island FALSE
##6 chr14:93581083-93582797 Island FALSE
- Installation
- Sample QC
- Functional normalization
- Functional normalizing separate datasets
- Extracting structural variants
- Estimating cellular composition
- Removing chrX and chrY probes
- Running EWAS
- Extracting CpG annotations
- Extracting SNP annotations
- Extracting detection p-values
- Extracting methylated and unmethylated intensities
- Generate normalization report from normalised betas
- Full pipeline for analysing massive datasets
- Common problems
- Citation