This question is directed to those who may have experience with the QSEA R package, which proceeds from MEDIPS.
I have MeDIP-seq data which I hope to begin analyzing very shortly, but unfortunately I'm not too familiar with processing genomic data. I've been able to following the tutorial for QSEA up until the normalization section, which suggests the use of a previously validated dataset. 450k TCGA data from lung is used in this example, and I such I presumed to use Head and Neck for mine. However I'm unable to figure out how to average the beta values within 500bp windows across all samples, as described within the tutorial, which looks like this:
I believe it may have been done by GRanges, or another R package which utilizes GRanges, but I am unable to generate the same object format. I've tried packages such as minfi, GRanges, but I lack the hands-on knowledge to further process the TCGA data after import.
I was wondering if anyone has any suggestions as to what R packages or software I can use to produce a similar R object.