Man pages for Bioconductor-mirror/GENESIS
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

admixMapMMadmixMapMM
assocTestMMSNP Genotype Association Testing with Mixed Models
assocTestSeqAggregate Association Testing with Sequencing Data
assocTestSeqWindowAggregate Association Testing with Sequencing Data in Sliding...
fitNullMMFit a Mixed Model Under the Null Hypothesis
fitNullRegFit a Regression Model Under the Null Hypothesis
GENESIS-packageGENetic EStimation and Inference in Structured samples...
HapMap_ASW_MXL_KINGmatMatrix of Pairwise Kinship Coefficient Estimates for the...
king2matConvert KING text output to an R Matrix
pcairPC-AiR: Principal Components Analysis in Related Samples
pcairPartitionPartition a sample into an ancestry representative 'unrelated...
pcrelatePC-Relate: Model-Free Estimation of Recent Genetic...
pcrelateMakeGRMCreates a Genetic Relationship Matrix (GRM) of Pairwise...
pcrelateReadInbreedCreate a Table of Inbreeding Coefficient Estimates from...
pcrelateReadKinshipCreate a Table of Pairwise Kinship Coefficient and IBD...
plot.pcairPC-AiR: Plotting PCs
varCompCIVariance Component Confidence Intervals
Bioconductor-mirror/GENESIS documentation built on Aug. 15, 2017, 5:10 p.m.