QuasR
Quantify and Annotate Short Reads in R
Bioconductor version: Release (2.12)
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.
Author: Anita Lerch, Dimos Gaiditzis and Michael Stadler
Maintainer: Michael Stadler <michael.stadler at fmi.ch>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("QuasR")
To cite this package in a publication, start R and enter:
citation("QuasR")
Documentation
| R Script | An introduction to QuasR | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | ChIPseq, Genetics, HighThroughputSequencing, Methylseq, Preprocessing, RNAseq, Software |
| Version | 1.0.9 |
| In Bioconductor since | BioC 2.13 (R-2.18) |
| License | GPL-2 |
| Depends | R (>= 2.15.0), parallel, GenomicRanges, Rbowtie(>= 0.99.0) |
| Imports | methods, zlibbioc, BiocGenerics, IRanges, BiocInstaller, Biobase, Biostrings, GenomicRanges, BSgenome, Rsamtools, GenomicFeatures, ShortRead |
| Suggests | Rsamtools, rtracklayer, Gviz, RUnit |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | QuasR_1.0.9.tar.gz |
| Windows Binary | QuasR_1.0.9.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | QuasR_1.0.9.tgz |
| Package Downloads Report | Download Stats |
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