boostSeq: Optimized GWAS cohort subset selection for resequencing studies

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.

Version: 1.0
Depends: R (≥ 2.11.0), genetics, lpSolveAPI
Published: 2012-08-11
Author: c(person("Milan Hiersche", "Developer", email = "mihi@uni-muenster.de")
Maintainer: Milan Hiersche <mihi at uni-muenster.de>
BugReports: mihi@uni-muenster.de
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.r-project.org
NeedsCompilation: no
CRAN checks: boostSeq results

Downloads:

Reference manual: boostSeq.pdf
Package source: boostSeq_1.0.tar.gz
OS X binary: boostSeq_1.0.tgz
Windows binary: boostSeq_1.0.zip