To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("prebs")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
The prebs package aims at making RNA-sequencing (RNA-seq) data more comparable to microarray data. The comparability is achieved by summarizing sequencing-based expressions of probe regions using a modified version of RMA algorithm. The pipeline takes mapped reads in BAM format as an input and produces either gene expressions or original microarray probe set expressions as an output.
Author: Karolis Uziela and Antti Honkela
Maintainer: Karolis Uziela <karolis.uziela at scilifelab.se>
Citation (from within R,
enter citation("prebs")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("prebs")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("prebs")
R Script | prebs User Guide | |
Reference Manual |
biocViews | Bioinformatics, GeneExpression, Microarray, Preprocessing, RNAseq, Sequencing, Software |
Version | 1.2.1 |
In Bioconductor since | BioC 2.12 (R-3.0) |
License | Artistic-2.0 |
Depends | R (>= 2.14.0), Rsamtools(>= 1.13.1), affy |
Imports | parallel, methods, stats, GenomicRanges(>= 1.13.3), IRanges |
Suggests | prebsdata, hgu133plus2cdf, hgu133plus2probe |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | prebs_1.2.1.tar.gz |
Windows Binary | prebs_1.2.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | prebs_1.2.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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