I am interested to know what programs people use to plot CpG methylation data to create those pretty visuals you find in publications. I don't have any issues doing the analysis and identifying differential methylated sites and regions. However, I would like to be able to plot the average methylation of groups/samples across a chromosome. It seems that some type of smoothing is necessary because if you just plot all the points and connect them it is way to dense to plot with any program I can find. I am aware there is a program called BSSmooth but I really don't need to re-analyze my data, only plot it. I have searched and searched and just cannot find a program that was meant for this type of thing. A lot of people seem to use circos plot programs in R but I cannot figure those things out and I have yet to find any kind of tutorial on plotting methylation. I know it seems unimportant because it's really the differential methylation stats you want, but my boss always wants to "see" what the methylation looks like. Maybe people are just writing there own scripts using R. I am not at all good with plotting in R but can follow a tutorial. I have WGBS data and targeted BS data sets I would like to be able to visualize. Any suggestions would be greatly appreciated.
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Have you looked at deepTools (https://deeptools.readthedocs.io/en/develop/ )?
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CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...07-31-2026, 11:01 AM
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