To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("waveTiling")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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")
    
| R Script | The waveTiling package | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | DifferentialExpression, GeneExpression, MicroArray, Software, TimeCourse | 
| Version | 1.4.0 | 
| In Bioconductor since | BioC 2.11 (R-2.15) | 
| License | GPL (>=2) | 
| Depends | oligo, oligoClasses, Biobase, Biostrings, GenomeGraphs | 
| Imports | methods, affy, preprocessCore, GenomicRanges, waveslim, IRanges | 
| Suggests | BSgenome, BSgenome.Athaliana.TAIR.TAIR9, waveTilingData, pd.atdschip.tiling, TxDb.Athaliana.BioMart.plantsmart12 | 
| System Requirements | |
| URL | https://r-forge.r-project.org/projects/wavetiling/ | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | waveTiling_1.4.0.tar.gz | 
| Windows Binary | waveTiling_1.4.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | waveTiling_1.4.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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