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
| Maintainer | Michael Stadler <michael.stadler@fmi.ch> |
| Author | Anita 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>) |
| License | GPL-2 |
| URL | https://bioconductor.org/packages/QuasR |
| Bug Reports | https://github.com/fmicompbio/QuasR/issues |
| System Requirements | GNU make |
| Downloads rank | 858 |
| Source branch | RELEASE_3_23 |
| biocViews | Alignment, ChIPSeq, Coverage, Genetics, ImmunoOncology, MethylSeq, Preprocessing, QualityControl, RNASeq, Sequencing, Software |
Documentation
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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