Good morning to everyone, I'm a student from Italy. In my epigenetics course I' had an assignment where I had to align reads obtained from BS seq of an arabidopsis thaliana toy genome, align the reads to a reference and do a methylation call using Bismark.
I'd obtained a methylome data called "CX_context" that is like this:
The hints that he gave to me were to use R studio, and search for an package that can do the "smoothing " on my data.
The question is... How can I check the methylation level if the methylation is a binary variable (methylated or unmethylated)?
There's a package/tool that you can suggest me to use?
To do all these analysis we connetct via SSH to a linux based server.
I think percent methylation is easier to visualize (although you may want to double-check the scale, since the absolute values are also relevant), and you want some way to make sure you aren't over-fitting your data (sometimes, it may be better not to smooth your data).
If this is BS-Seq data, there are a couple options that I can think of:
1) IGV has BS-Seq visualization. While you aren't directly looking at percent methylation, it colors the CpG sites differently and gives you a way to visualize percent methylation along with total coverage.
2) I think the Bismark quantification changes every so often. However, last time I checked, you could calculate the percent methylation from the counts table created using the following command: