To install this package, start R and enter:

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

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

SeqArray

 

Big Data Management of Genome-wide Sequencing Variants

Bioconductor version: Release (3.1)

Big data management of genome-wide variants using the CoreArray C++ library: genotypic data and annotations are stored in an array-oriented manner, offering efficient access of genetic variants using the R programming language.

Author: Xiuwen Zheng [aut, cre], Stephanie Gogarten [aut], Cathy Laurie [ctb]

Maintainer: Xiuwen Zheng <zhengx at u.washington.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SeqArray")

 

PDF R Script SeqArray Tutorial
PDF SeqArray-JSM2013.pdf
PDF   Reference Manual
Text   NEWS

Details

biocViews Genetics, Infrastructure, Sequencing, Software
Version 1.8.0
In Bioconductor since BioC 2.12 (R-3.0) (2 years)
License GPL-3
Depends gdsfmt(>= 1.2.2)
Imports methods, Biostrings, GenomicRanges, IRanges, S4Vectors, VariantAnnotation
LinkingTo gdsfmt
Suggests parallel, BiocStyle, BiocGenerics, knitr, RUnit, Rcpp
SystemRequirements
Enhances
URL http://corearray.sourceforge.net/tutorials/SeqArray/ http://github.com/zhengxwen/SeqArray
BugReports http://github.com/zhengxwen/SeqArray/issues
Depends On Me SeqVarTools
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source SeqArray_1.8.0.tar.gz
Windows Binary SeqArray_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SeqArray_1.8.0.tgz
Mac OS X 10.9 (Mavericks) SeqArray_1.8.0.tgz
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