R-package for multiple knockoff inference using summary statistics, e.g. Z-scores.
The knockoff inference is a general procedure for controlling the false discovery rate (FDR) when performing variable selection. This package provides a procedure which performs knockoff inference without ever constructing individual knockoffs (GhostKnockoff).
It additionally supports multiple knockoff inference for improved stability and reproducibility. Moreover, it supports meta-analysis of multiple overlapping studies.
R-package for Identification of Putative Causal Loci in Whole-Genome Sequencing Data via Knockoff Statistics
A efficient knockoff generator for genetic data
R-package for the Longitudinal Genetic Random Field model (LGRF)
Test the association between a longitudinally measured quantitative outcome and a set of genetic variants in a gene/region
R-package for longitudinal gene-environment-wide interaction studies
Single variant/set-based score tests for genetic association/gene-environment interaction in studies with time varying outcomes and environmental exposures
R-package for unified sequence-based association tests allowing for multiple functional annotation scores
Individual gene / gene-set / genome-wide scan for coding and noncoding variants using summary statistics (available for meta-analysis) and functional genomics data
Web interface for predicting cell type specific functional consequences of non-coding variation across 127 tissues/cell types.