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PLoS Comput Biol. 2013;9(8):e1003118. doi: 10.1371/journal.pcbi.1003118. Epub 2013 Aug 8.

Software for computing and annotating genomic ranges.

Author information

1
Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, California, United States of America. michafla@gene.com

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.

PMID:
23950696
PMCID:
PMC3738458
DOI:
10.1371/journal.pcbi.1003118
[Indexed for MEDLINE]
Free PMC Article
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