June 2015
Intermediate to advanced
306 pages
6h 50m
English
Content preview from Bioinformatics with Python CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Setting the stage for high-performance computing
In this recipe, we will prepare you so that you can perform computing with multiple cores, in clusters, and in MapReduce frameworks. We will use a simple example, where we compute the minimum allele frequency (MAF) of loci across the human genome using the TSI ("Toscani in Italy") HapMap population. Refer to Chapter 6, Phylogenetics, for details on the HapMap data.
We will perform two different kinds of tasks here. First is preparing the data, another is structuring computations as if we were using the parallel computing framework. The sequential execution is a safe and predictable environment to introduce parallel programming concepts, even if we still do not do actual concurrent execution in this ...
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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.