To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("cleanUpdTSeq")

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

cleanUpdTSeq

This package classifies putative polyadenylation sites as true or false/internally oligodT primed.

Bioconductor version: 2.14

This package uses the Naive Bayes classifier (from e1071) to assign probability values to putative polyadenylation sites (pA sites) based on training data from zebrafish. This will allow the user to separate true, biologically relevant pA sites from false, oligodT primed pA sites.

Author: Sarah Sheppard, Jianhong Ou, Nathan Lawson, Lihua Julie Zhu

Maintainer: Sarah Sheppard <Sarah.Sheppard at umassmed.edu>; Jianhong Ou <Jianhong.Ou at umassmed.edu>; Lihua Julie Zhu <Julie.Zhu at umassmed.edu>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("cleanUpdTSeq")

Documentation

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

browseVignettes("cleanUpdTSeq")

 

PDF R Script cleanUpdTSeq Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneRegulation, Genetics, SequenceMatching, Sequencing, Software
Version 1.2.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-2
Depends R (>= 2.15), BiocGenerics(>= 0.1.0), BSgenome, BSgenome.Drerio.UCSC.danRer7, GenomicRanges, seqinr, e1071
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source cleanUpdTSeq_1.2.0.tar.gz
Windows Binary cleanUpdTSeq_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) cleanUpdTSeq_1.2.0.tgz
Mac OS X 10.9 (Mavericks) cleanUpdTSeq_1.2.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center