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Zhili's Projects

cromwell icon cromwell

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

cxxopts icon cxxopts

Lightweight C++ command line option parser

exptools icon exptools

Docker tools for cloud, tools in R and Python

gdriveupload icon gdriveupload

A command line utility for interacting with Google Drive and Team Drive

impute-pipe icon impute-pipe

:shower: Canonical SGE cluster genotype imputation pipeline

iswasmfast icon iswasmfast

Performance comparison of WebAssembly, C++ Addon, and native implementations of various algorithms in Node.js.

joint-calling icon joint-calling

Sample and variant QC, based on https://github.com/broadinstitute/gnomad_qc

jquery.tocify.js icon jquery.tocify.js

A jQuery Table of Contents plugin that can be themed with Twitter Bootstrap or jQueryUI.

ldpred-funct icon ldpred-funct

Here we develop the software for the method LDpredfunct described in https://www.biorxiv.org/content/early/2018/07/24/375337

libpopcnt icon libpopcnt

🚀 Fast C/C++ bit population count library

llvm-utils icon llvm-utils

LLVM/Clang for Visual Studio 2019, 2017, 2015, 2013, 2012 and 2010. Utils for Clang Static Analyzer

monaco.ttf icon monaco.ttf

the monaco font improved: add special characters in monaco.ttf

mrfdepth icon mrfdepth

:exclamation: This is a read-only mirror of the CRAN R package repository. mrfDepth — Depth Measures in Multivariate, Regression and Functional Settings. Homepage: https://github.com/PSegaert/mrfDepth Report bugs for this package: https://github.com/PSegaert/mrfDepth/issues

mrnd icon mrnd

Power calculations for Mendelian Randomisation

pheweb icon pheweb

A tool to build multi-phenotype GWAS browsers

plink-ng icon plink-ng

Fork for Pgen library. Only patches for library uses, nothing new. Please refer to plink-ng repository

polyfun icon polyfun

PolyFun (POLYgenic FUNctionally-informed fine-mapping)

sisg_mcmc_course icon sisg_mcmc_course

Lecture notes for Eric Anderson and Matthew Stephens SISG course on MCMC for Statistical Genetics

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