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Public Library of Science, PLoS Computational Biology, 8(9), p. e1003118, 2013

DOI: 10.1371/journal.pcbi.1003118

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Software for Computing and Annotating Genomic Ranges

Journal article published in 2013 by Michael Lawrence, Wolfgang Huber ORCID, Hervé Pagès, Patrick Aboyoun, Marc Carlson, Robert Gentleman, Martin T. Morgan, Vincent J. Carey
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

We describe Bioconductor infrastructure for representing and computing on annotated genomic ranges and integrating genomic data with the statistical computing features of R and its extensions. At the core of the infrastructure are three packages: IRanges, GenomicRanges, and GenomicFeatures. These packages provide scalable data structures for representing annotated ranges on the genome, with special support for transcript structures, read alignments and coverage vectors. Computational facilities include efficient algorithms for overlap and nearest neighbor detection, coverage calculation and other range operations. This infrastructure directly supports more than 80 other Bioconductor packages, including those for sequence analysis, differential expression analysis and visualization.