October 2019
Intermediate to advanced
316 pages
9h 45m
English
Content preview from R Bioinformatics Cookbook
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Extracting information in genomic regions of interest
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.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.