To install this package, start R and enter:

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

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

FunChIP

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see FunChIP.

Clustering and Alignment of ChIP-Seq peaks based on their shapes

Bioconductor version: 3.4

Preprocessing and smoothing of ChIP-Seq peaks and efficient implementation of the k-mean alignment algorithm to classify them.

Author: Alice Parodi [aut, cre], Marco Morelli [aut, cre], Laura M. Sangalli [aut], Piercesare Secchi [aut], Simone Vantini [aut]

Maintainer: Alice Parodi <alicecarla.parodi at polimi.it>

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

To install this package, start R and enter:

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

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

browseVignettes("FunChIP")

biocViews	ChIPSeq, Clustering, Software, StatisticalMethod
Version	1.0.0
In Bioconductor since	BioC 3.4 (R-3.3) (0.5 years)
License	Artistic-2.0
Depends	R (>= 3.2), GenomicRanges
Imports	shiny, fda, doParallel, GenomicAlignments, Rcpp, methods, foreach, parallel, GenomeInfoDb, Rsamtools, grDevices, graphics, stats
LinkingTo	Rcpp
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	FunChIP_1.0.0.tar.gz
Windows Binary	FunChIP_1.0.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	FunChIP_1.0.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/FunChIP/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/FunChIP/
Package Downloads Report	Download Stats

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