articlePLoS Computational BiologyAug 8, 2013GOLD OA

Software for Computing and Annotating Genomic Ranges

Gene Therapy Laboratory · European Molecular Biology Laboratory · +4 more institutions

PubMed
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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…

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Topics & keywords

Keywords
  • Bioconductor
  • Computer science
  • Scalability
  • Software
  • Visualization
  • Computational statistics
  • Sequence alignment
  • Data mining
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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