To install this package, start R and enter:

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

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

alpine

 

   

alpine

Bioconductor version: Release (3.4)

Fragment sequence bias modeling and correction for RNA-seq transcript abundance estimation.

Author: Michael Love, Rafael Irizarry

Maintainer: Michael Love <michaelisaiahlove at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script alpine
PDF   Reference Manual
Text   NEWS

Details

biocViews AlternativeSplicing, BatchEffect, Coverage, DifferentialSplicing, GeneExpression, Normalization, QualityControl, RNASeq, Sequencing, Software, Transcription, Visualization
Version 1.0.0
In Bioconductor since BioC 3.4 (R-3.3) (0.5 years)
License GPL (>=2)
Depends R (>= 3.3)
Imports Biostrings, IRanges, GenomicRanges, GenomicAlignments, Rsamtools, SummarizedExperiment, GenomicFeatures, speedglm, splines, graph, RBGL, stringr, stats, methods, graphics, GenomeInfoDb, S4Vectors
LinkingTo
Suggests knitr, testthat, alpineData, rtracklayer, ensembldb, BSgenome.Hsapiens.NCBI.GRCh38, RColorBrewer
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source alpine_1.0.0.tar.gz
Windows Binary alpine_1.0.0.zip
Mac OS X 10.9 (Mavericks) alpine_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/alpine/tree/release-3.4
Package Short Url http://bioconductor.org/packages/alpine/
Package Downloads Report Download Stats

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