To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("waveTiling")

In most cases, you don't need to download the package archive at all.

waveTiling

Wavelet-Based Models for Tiling Array Transcriptome Analysis

Bioconductor version: Release (3.5)

This package is designed to conduct transcriptome analysis for tiling arrays based on fast wavelet-based functional models.

Author: Kristof De Beuf <kristof.debeuf at UGent.be>, Peter Pipelers <peter.pipelers at ugent.be> and Lieven Clement <lieven.clement at gmail.com>

Maintainer: Kristof De Beuf <kristof.debeuf at UGent.be>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("waveTiling")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("waveTiling")

biocViews	DifferentialExpression, GeneExpression, Microarray, Software, TimeCourse
Version	1.18.0
In Bioconductor since	BioC 2.11 (R-2.15) (5 years)
License	GPL (>=2)
Depends	oligo, oligoClasses, Biobase, Biostrings, GenomeGraphs
Imports	methods, affy, preprocessCore, GenomicRanges, waveslim, IRanges
LinkingTo
Suggests	BSgenome, BSgenome.Athaliana.TAIR.TAIR9, waveTilingData, pd.atdschip.tiling, TxDb.Athaliana.BioMart.plantsmart22
SystemRequirements
Enhances
URL	https://r-forge.r-project.org/projects/wavetiling/
Depends On Me
Imports Me
Suggests Me
Build Report

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

Source Package	waveTiling_1.18.0.tar.gz
Windows Binary	waveTiling_1.18.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	waveTiling_1.18.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/waveTiling
Package Short Url	http://bioconductor.org/packages/waveTiling/
Package Downloads Report	Download Stats

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