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

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")):

To install this package, start R and enter:

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

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

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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