To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ind1KG")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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")
    
| R Script | ind1KG -- 1000 genomes data demo | |
| R Script | Notes for eSet developers | |
| Reference Manual | 
| biocViews | ExperimentData, Genetics, HighThroughputSequencing | 
| Version | 0.1.17 | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.10.1), chopsticks | 
| Imports | |
| Suggests | Rsamtools, rtracklayer, GenomicFeatures, org.Hs.eg.db, SNPlocs.Hsapiens.dbSNP.20090506, TxDb.Hsapiens.UCSC.hg18.knownGene, lumiHumanIDMapping, GGBase, GGtools, hmyriB36 | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | ind1KG_0.1.17.tar.gz | 
| Windows Binary | ind1KG_0.1.17.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | ind1KG_0.1.17.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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