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Bioconductor - tidyCoverage

tidyCoverage

This is the released version of tidyCoverage; for the devel version, see tidyCoverage.

Extract and aggregate genomic coverage over features of interest

Bioconductor version: Release (3.21)

`tidyCoverage` framework enables tidy manipulation of collections of genomic tracks and features using `tidySummarizedExperiment` methods. It facilitates the extraction, aggregation and visualization of genomic coverage over individual or thousands of genomic loci, relying on `CoverageExperiment` and `AggregatedCoverage` classes. This accelerates the integration of genomic track data in genomic analysis workflows.

Author: Jacques Serizay [aut, cre]

Maintainer: Jacques Serizay <jacquesserizay at gmail.com>

Citation (from within R, enter citation("tidyCoverage")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("tidyCoverage")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("tidyCoverage")
Details biocViews Coverage, Sequencing, Software Version 1.4.1 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License MIT + file LICENSE Depends R (>= 4.3.0), SummarizedExperiment Imports S4Vectors, IRanges, GenomicRanges, GenomeInfoDb, BiocParallel, BiocIO, rtracklayer, methods, tidyr, ggplot2, dplyr, fansi, pillar, rlang, scales, cli, purrr, vctrs, stats System Requirements URL https://github.com/js2264/tidyCoverage Bug Reports https://github.com/js2264/tidyCoverage/issues See More Suggests tidySummarizedExperiment, plyranges, TxDb.Hsapiens.UCSC.hg19.knownGene, AnnotationHub, GenomicFeatures, BiocStyle, hues, knitr, rmarkdown, sessioninfo, testthat (>= 3.0.0) Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.

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