To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ind1KG")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
Elements of samtools/bioc workflow for dealing with personal sequence focusing on identification and interpretation of rare variants
Author: VJ Carey <stvjc at channing.harvard.edu>
Maintainer: VJ Carey <stvjc at channing.harvard.edu>
Citation (from within R,
enter citation("ind1KG")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ind1KG")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ind1KG")
ind1KG -- 1000 genomes data demo | ||
Notes for eSet developers | ||
Reference Manual |
biocViews | ExperimentData, Genome, MicroarrayData, SNPData |
Version | 0.8.0 |
License | Artistic-2.0 |
Depends | R (>= 2.10.1), chopsticks |
Imports | |
LinkingTo | |
Suggests | Rsamtools, rtracklayer, GenomicFeatures, org.Hs.eg.db, SNPlocs.Hsapiens.dbSNP.20090506, TxDb.Hsapiens.UCSC.hg18.knownGene, lumiHumanIDMapping, GGBase, GGtools, hmyriB36 |
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 | ind1KG_0.8.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/ind1KG/ |
Package Downloads Report | Download Stats |
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