Very often, you'll want to look in more detail at data that falls in a particular genomic region of interest, whether that be the SNPs and variants in a gene or the genes in a particular locus. This extremely common task is handled very well by the extremely powerful GRanges and SummarizedExperiment objects, which are a little fiddly to set up but have very flexible subsetting operations that make the effort well worth it. We'll look at a few ways to set up these objects and a few ways we can manipulate them to get interesting information.
Extracting information in genomic regions of interest
Getting ready
In this recipe, we need the GenomicRanges, SummarizedExperiment, and rtracklayer Bioconductor packages. We&apos...