SeqArray

Big Data Management of Genome-wide Sequencing Variants

Bioconductor version: Release (2.14)

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

Author: Xiuwen Zheng, Stephanie M. Gogarten, Cathy Laurie

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

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("SeqArray")

Documentation

PDF SeqArray-JSM2013.pdf
PDF R Script SeqArray: an R/Bioconductor Package for Big Data Management of Genome-Wide Sequencing Variants
PDF   Reference Manual
Text   NEWS

Details

biocViews Genetics, Infrastructure, Sequencing, Software
Version 1.4.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL-3
Depends gdsfmt (>= 1.0.0)
Imports methods, parallel, Biostrings, GenomicRanges, IRanges, VariantAnnotation
Suggests BiocGenerics, RUnit, Rcpp
System Requirements
URL http://corearray.sourceforge.net/tutorials/SeqArray/
Depends On Me SeqVarTools
Imports Me
Suggests Me

Package Downloads

Package Source SeqArray_1.4.0.tar.gz
Windows Binary SeqArray_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SeqArray_1.4.0.tgz
Mac OS X 10.9 (Mavericks)
Package Downloads Report Download Stats

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