2013
DOI: 10.1371/journal.pcbi.1003118
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Software for Computing and Annotating Genomic Ranges

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 efficie… Show more

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Cited by 3,578 publications
(3,132 citation statements)
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“…Manipulation with and computation of statistics on genomic intervals and domains was done using the GenomicRanges package (Lawrence et al 2013). …”
Section: Resultsmentioning
confidence: 99%
“…Manipulation with and computation of statistics on genomic intervals and domains was done using the GenomicRanges package (Lawrence et al 2013). …”
Section: Resultsmentioning
confidence: 99%
“…Sequence reads were counted according to overlaps on exon models obtained from the ensGene database from the University of California, Santa Cruz (UCSC), genome browser (54). The database was downloaded in January 2011 using R software 3.2.2 (55) and processed using the Bioconductor (56, 57) packages rtracklayer (58), Rsamtools (59), GenomicRanges (60), and GenomicFeatures (60). A set of genes that was not annotated in the Ensembl database but that was annotated in the refGene database from the UCSC genome browser was analyzed in conjunction with the Ensembl annotation.…”
Section: Methodsmentioning
confidence: 99%
“…Reproducibility Plots-Reads per kilobase per million mapped reads (RPKM) for each differentially expressed gene was calculated by the R Bioconductor package GenomicRanges (37). The heat map was generated according to the count table with scaling across the samples for each gene.…”
Section: Methodsmentioning
confidence: 99%