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biona001's Introduction

Here are some of my past and ongoing projects, which I think are pretty cool. Not all projects are being actively developed, but I will certainly respond to issues and pull requests.

I am the main developer for (more recent projects are listed first):

  • GhostKnockoffGWAS: Package for performing knockoff-based analysis for GWAS summary statistics data
  • Ghostbasil.jl: (WIP) Provides Julia wrappers to the C++ code of ghostbasil
  • Knockoffs.jl: Implements the knockoff filter framework for variable selection, which performs conditional independence testing and controls the FDR (false discovery rate)
  • groupknockoffs: Simple app to solve group knockoff optimization, without Julia installed!
  • EasyLD.jl: Julia utilities for downloading and reading LD (linkage disequilibrium) matrices stored in Hail's BlockMatrix format
  • knockoffspy: A Python package that provides a direct wrapper over Knockoffs.jl
  • knockoffsr: A R package that provides a direct wrapper over Knockoffs.jl
  • MendelIHT.jl: Implements iterative hard thresholding (l0 penalized regression solver). It is highly optimized for handling compressed (binary PLINK) genotype data
  • MendelImpute.jl: A package for genotype imputation, phasing, and (global/local) ancestry inference utilizing a reference haplotype panel. It is significantly faster than existing methods but slightly less accurate
  • Thyrosim.jl: An updated version of THYROSIM, Thyrosim.jl produces individualized thyroid hormone predictions (TT4/TT3/TSH) based on a rather complicated ODE model
  • VCFTools.jl: Julia utilities for handling VCF (Variant Call Format) files
  • fastPHASE.jl: Julia wrapper for the famous fastPHASE genetics software. The primary use case is to allow the original program to run on binary PLINK data.

I am a contributor for (at least 5 commits):

  • QuasiCopula.jl: Implements a new class of distribution (Quasi-Copulas) that captures correlation among non-Gaussian random variables efficiently
  • SnpArrays.jl: Julia package for handling binary PLINK formatted data. It has the fastest (matrix)-(vector) multiplication routine for compressed PLINK files as far as I know.
  • MendelKinship.jl: Calculates various empirical and theoretical kinship coefficients, based on pedigree or genotype data.

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