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.
Bioconductor version: 2.13
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>
Citation (from within R,
enter citation("SeqArray")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("SeqArray")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SeqArray")
SeqArray-JSM2013.pdf | ||
R Script | SeqArray: an R/Bioconductor Package for Big Data Management of Genome-Wide Sequencing Variants | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, Genetics, Infrastructure, Sequencing, Software |
Version | 1.2.1 |
In Bioconductor since | BioC 2.12 (R-3.0) |
License | GPL-3 |
Depends | gdsfmt (>= 1.0.0) |
Imports | methods, Biostrings, GenomicRanges, IRanges, VariantAnnotation |
Suggests | parallel, snow, BiocGenerics, RUnit, Rcpp |
System Requirements | |
URL | http://corearray.sourceforge.net/tutorials/SeqArray/ |
Depends On Me | SeqVarTools |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | SeqArray_1.2.1.tar.gz |
Windows Binary | SeqArray_1.2.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | SeqArray_1.2.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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