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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NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...-
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
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