Question: Appropriate Pipeline for Methylation EPIC array analysis?
gravatar for Ankit
5 months ago by
Ankit140 wrote:

Hi everyone,

I have two questions.

  1. Does anyone knows which tool is the best for Methylation EPIC array analysis? Something as useful as ChAMP.

I know minfi package can help in loading and normalising data. But I also have to filter probes based on SNPs overlap, detection p.value, and so on (similar as all the steps given in champ.load function).

So how should I go about doing it?

I thought to load data with minfi package (not through champ.load) -> filter using champ.filter -> normalize using champ.norm (method =SWAN).

Does it make sense?

2 Also which normalisation method is preferred SWAN or BMIQ? In literature search, I found both as closely equivalent but if I am missing something for data type please correct me.

If any one has prior experience or suggestions please let me know.


methylation arrays epic • 443 views
ADD COMMENTlink modified 5 months ago by miky.zo40 • written 5 months ago by Ankit140
gravatar for miky.zo
5 months ago by
Italy / Busto Arsizio / University of Insubria
miky.zo40 wrote:

Hey, I am kinda new to this field but I had to do some analyses on an EPIC array. I followed this R cross-package tutorial for methylation analysis: , I think you will find it helpful.

Regarding your second question, the normalization method depends on what are your starting samples and what you are searching for, probably you can also try different methods and do the analysis to check for differences. I suggest you this paper: , they do a mini-review on methylation analysis and they also do normalization methods comparison. Hope this helps!

ADD COMMENTlink written 5 months ago by miky.zo40

Hi .

I agree with your suggestions.

But champ package allow lot of filtering at one step command. It also allow several other processing of data.

That's why I thought to load data with minfi and then filter using champ.filter

ADD REPLYlink written 5 months ago by Ankit140
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 868 users visited in the last hour