A tool for genotyping calling of sequence data from population and families.
An R package for efficiently studying conditional dependence among variables, which is well known as the Gaussian graphical model (GGM).
An R package using gene based kernel machine regression for quantitative traits in longitudinal family data.
An R package using gene based kernel machine regression for quantitative traits in multivariate family data.
Implements a Bayesian framework for calling de novo mutations in trios for next-generation sequencing data.
gTDT implemented gene-based or group-wise TDT for rare variant aggregation analysis. It is joint work with Dr. Bingshan Li.
Implements a likelihood-based framework for calling single nucleotide variants and detecting de novo point mutation events in families for next-generation sequencing data. It is Joint work with Dr. Bingshan Li.
The latest version of 0.1 is available for download. It is joint work with Dr. Bingshan Li.
A pipeline for inferring local ancestry in admixed individuals
Genetic Model-based Simulator to simulate case-control and quantitative data sets based on pre-defined genetic models.
A tool to simulate unrelated and family data set from multiple-way admixed population
A graphical overview of your own whole-genome assocation study with high-dimensional traits.
An efficient and memory saving program to check potential problematic lanes generated by shotgun sequencing machine and mapped by sequence assembler softwares.