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arXiv · 1409.2864

Scalable Genomics with R and Bioconductor

Michael Lawrence·Martin Morgan
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Abstract

This paper reviews strategies for solving problems encountered when analyzing large genomic data sets and describes the implementation of those strategies in R by packages from the Bioconductor project. We treat the scalable processing, summarization and visualization of big genomic data. The general ideas are well established and include restrictive queries, compression, iteration and parallel computing. We demonstrate the strategies by applying Bioconductor packages to the detection and analysis of genetic variants from a whole genome sequencing experiment.

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Michael Lawrence, Martin Morgan. 2014-09-09. Scalable Genomics with R and Bioconductor. https://doi.org/10.1214/14-sts476

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