boostSeq

Package: boostSeq
Version: 1.0
Date: 2012-08-10
Title: Optimized GWAS cohort subset selection for resequencing studies
Author: c(person("Milan Hiersche", "Developer", email =
"mihi@uni-muenster.de")
Maintainer: Milan Hiersche <mihi@uni-muenster.de>
Depends: R (>= 2.11.0), genetics, lpSolveAPI
Description: This package contains functionality to select a subsample
of a genotyped cohort e.g. from a GWAS that is preferential for
resequencing under the assumtion that causal variants share a
haplotype with the risk allele of associated variants. The
subsample is selected such that is contains risk alleles at
maximum frequency for all SNPs specified. Phentoypes can also
be included as additional variables to obtain a higher fraction
of extreme phenotypes. An arbitrary number of SNPs and/or
phentoypes can be specified for enrichment in a single
subsample.
License: GPL (>= 2)
URL: http://www.r-project.org
BugReports: mihi@uni-muenster.de
Packaged: 2012-08-10 12:37:31 UTC; milan
Repository: CRAN
Date/Publication: 2012-08-11 15:09:33

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'boostSeq' ...
** package 'boostSeq' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'boostSeq'
    finding HTML links ... done
    alleleEnrichment                        html  
    getSnpWeights                           html  
** building package indices
** testing if installed package can be loaded
* DONE (boostSeq)
Making 'packages.html' ... done