QuasR

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

Quantify and Annotate Short Reads in R

Bioconductor version: Development (3.21)

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.

Author: Anita Lerch [aut], Adam Alexander Thil SMITH [aut] (ORCID: ), Charlotte Soneson [aut] (ORCID: ), Dimos Gaidatzis [aut], Michael Stadler [aut, cre] (ORCID: )

Maintainer: Michael Stadler <michael.stadler at fmi.ch>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("QuasR")

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

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Alignment, ChIPSeq, Coverage, Genetics, ImmunoOncology, MethylSeq, Preprocessing, QualityControl, RNASeq, Sequencing, Software
Version	1.47.0
In Bioconductor since	BioC 2.12 (R-3.0) (11.5 years)
License	GPL-2
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, GenomeInfoDb, rtracklayer, GenomicFiles, AnnotationDbi
System Requirements	GNU make
URL	https://bioconductor.org/packages/QuasR
Bug Reports	https://github.com/fmicompbio/QuasR/issues

Suggests	Gviz, BiocStyle, GenomicAlignments, Rhisat2, knitr, rmarkdown, covr, testthat
Linking To	Rhtslib(>= 1.99.1)
Enhances
Depends On Me
Imports Me
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Build Report	Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/QuasR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/QuasR
Package Short Url	https://bioconductor.org/packages/QuasR/
Package Downloads Report	Download Stats