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QuasR

Quantify and Annotate Short Reads in R

Bioconductor version: 3.23 · Package version: 1.52.0

This package provides a framework for the quantification and analysis of Short Reads. It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest. Read alignments are either generated through Rbowtie (data from DNA/ChIP/ATAC/Bis-seq experiments) or Rhisat2 (data from RNA-seq experiments that require spliced alignments), or can be provided in the form of bam files.

Installation

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

BiocManager::install("QuasR")

Details

MaintainerMichael Stadler <michael.stadler@fmi.ch>
AuthorAnita Lerch [aut], Adam Alexander Thil SMITH [aut] (ORCID: <https://orcid.org/0000-0003-4593-3042>), Charlotte Soneson [aut] (ORCID: <https://orcid.org/0000-0003-3833-2169>), Dimos Gaidatzis [aut], Michael Stadler [aut, cre] (ORCID: <https://orcid.org/0000-0002-2269-4934>)
LicenseGPL-2
URLhttps://bioconductor.org/packages/QuasR
Bug Reportshttps://github.com/fmicompbio/QuasR/issues
System RequirementsGNU make
Downloads rank1122
Source branchRELEASE_3_23
biocViewsAlignment, ChIPSeq, Coverage, Genetics, ImmunoOncology, MethylSeq, Preprocessing, QualityControl, RNASeq, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageQuasR_1.52.0.tar.gz
Windows binary (x86_64)QuasR_1.52.0.zip
macOS binary (arm64)QuasR_1.52.0.tgz
macOS binary (x86_64)QuasR_1.52.0.tgz
Dependencies

Depends: R (>= 4.4), parallel, GenomicRanges, Rbowtie

Imports: methods, grDevices, graphics, utils, stats, tools, BiocGenerics, S4Vectors, IRanges, Biobase, Biostrings, BSgenome, Rsamtools (>= 2.13.1), GenomicFeatures, txdbmaker, ShortRead, BiocParallel, Seqinfo, rtracklayer, GenomicFiles, AnnotationDbi

LinkingTo: Rhtslib (>= 1.99.1)

Suggests: Gviz, BiocStyle, GenomeInfoDbData, GenomicAlignments, Rhisat2, knitr, rmarkdown, covr, testthat

Reverse dependencies

Suggests Me (1): eisaR