Package: GWASdata
Title: Data used in the examples and vignettes of the GWASTools package
Version: 1.10.0
Author: Stephanie Gogarten
Description: Selected Affymetrix and Illlumina SNP data for HapMap subjects. Data provided by the Center for Inherited Disease Research at Johns Hopkins University and the Broad Institute of MIT and Harvard University.
Depends: GWASTools
Maintainer: Stephanie Gogarten <sdmorris@u.washington.edu>, Adrienne Stilp <amstilp@u.washington.edu>
License: Artistic-2.0
biocViews: ExperimentData, MicroarrayData, SNPData, HapMap
NeedsCompilation: no
Packaged: 2016-05-07 20:20:29 UTC; biocbuild
Package: GENESIS
Type: Package
Title: GENetic EStimation and Inference in Structured samples
(GENESIS): Statistical methods for analyzing genetic data from
samples with population structure and/or relatedness
Version: 2.2.2
Date: 2016-4-1
Author: Matthew P. Conomos and Timothy Thornton
Maintainer: Matthew P. Conomos <mconomos@uw.edu>
Description: The GENESIS package provides methodology for estimating,
inferring, and accounting for population and pedigree structure
in genetic analyses. The current implementation provides
functions to perform PC-AiR (Conomos et al., 2015, Gen Epi) and PC-Relate
(Conomos et al., 2016, AJHG). PC-AiR performs a Principal Components
Analysis on genome-wide SNP data for the detection of population
structure in a sample that may contain known or cryptic relatedness.
Unlike standard PCA, PC-AiR accounts for relatedness in the sample
to provide accurate ancestry inference that is not confounded by
family structure. PC-Relate uses ancestry representative principal
components to adjust for population structure/ancestry and accurately
estimate measures of recent genetic relatedness such as kinship
coefficients, IBD sharing probabilities, and inbreeding coefficients.
Additionally, functions are provided to perform efficient variance
component estimation and mixed model association testing for both
quantitative and binary phenotypes.
License: GPL-3
Depends: GWASTools
Imports: Biobase, gdsfmt, graph
Suggests: SNPRelate, SeqArray, SeqVarTools, RUnit, BiocGenerics, knitr
VignetteBuilder: knitr
biocViews: SNP, GeneticVariability, Genetics, StatisticalMethod,
DimensionReduction, PrincipalComponent, GenomeWideAssociation,
QualityControl, BiocViews
NeedsCompilation: no
Packaged: 2016-05-16 05:18:52 UTC; biocbuild
providing 
.