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This is the development version of GenomicFiles; for the stable release version, see GenomicFiles.

Distributed computing by file or by range

Bioconductor version: Development (3.20)

This package provides infrastructure for parallel computations distributed 'by file' or 'by range'. User defined MAPPER and REDUCER functions provide added flexibility for data combination and manipulation.

Author: Bioconductor Package Maintainer [aut, cre], Valerie Obenchain [aut], Michael Love [aut], Lori Shepherd [aut], Martin Morgan [aut], Sonali Kumari [ctb] (Converted 'GenomicFiles' vignettes from Sweave to RMarkdown / HTML.)

Maintainer: Bioconductor Package Maintainer <maintainer at>

Citation (from within R, enter citation("GenomicFiles")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

Introduction to GenomicFiles HTML R Script
Reference Manual PDF
Reading from a BAM file - Part 2 Video


biocViews Coverage, DataImport, Genetics, Infrastructure, Sequencing, Software
Version 1.41.0
In Bioconductor since BioC 2.14 (R-3.1) (10 years)
License Artistic-2.0
Depends R (>= 3.1.0), methods, BiocGenerics(>= 0.11.2), MatrixGenerics, GenomicRanges(>= 1.31.16), SummarizedExperiment, BiocParallel(>= 1.1.0), Rsamtools(>= 1.17.29), rtracklayer(>= 1.25.3)
Imports GenomicAlignments(>= 1.7.7), IRanges, S4Vectors(>= 0.9.25), VariantAnnotation(>= 1.27.9), GenomeInfoDb
System Requirements
See More
Suggests BiocStyle, RUnit, genefilter, deepSNV, snpStats, knitr, RNAseqData.HNRNPC.bam.chr14, Biostrings, Homo.sapiens
Linking To
Depends On Me erma, IntEREst
Imports Me CAGEfightR, derfinder, gDNAx, QuasR, Rqc, VCFArray
Suggests Me ldblock, MungeSumstats, TFutils
Links To Me
Build Report Build Report

Package Archives

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

Source Package GenomicFiles_1.41.0.tar.gz
Windows Binary
macOS Binary (x86_64) GenomicFiles_1.41.0.tgz
macOS Binary (arm64) GenomicFiles_1.41.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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Package Short Url
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