Tom Willis's repositories

gps_cpp

C++ code for calculating the GPS statistic.

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GWAS_tools

Pipeline for GWAS summary statistic dataset processing

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squick

Script to simplify Slurm job submission

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bayNorm_papercode

code for producing figures in bayNorm

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cfdr

Implements conditional false-discovery rate hypothesis testing, used to perform high-dimensional hypothesis tests. Requires a set of summary statistics in an experiment of interest, and 'levers' on a second set of summary statistics at the same variables for a second experiment. Enables frequentist hypothesis testing with overall strong control of false-discovery rate. Can use several estimators of the cFDR function.

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cfdr_pipeline

Pipeline to generate all results in manuscript 'Accurate error control in high dimensional association testing using conditional false discovery rates', by James Liley and Chris Wallace

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cpp

Repo for code written when first learning C++ and Qt.

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fastman

An R package for fast and efficient visualizing of GWAS results using Q-Q and Manhattan plots directly from PLINK output files.

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fcfdr

R package for flexible cFDR (fcfdr)

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fcfdr_manuscript

Repo to reproduce results from flexible cFDR manuscript

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HackMergesort

Mergesort implemented in Hack assembly language

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ldak_weights_pipeline

Snakemake-based pipeline for generating LDAK weights for use with fcFDR.

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LongQC

LongQC is a tool for the data quality control of the PacBio and ONT long reads.

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nest-simulator

The NEST simulator

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orbtree

Generalized order-statistic tree implementation in C++

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pidProjCode

Utility code for PID project.

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rapidcsv

C++ CSV parser library

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scRNAseq

Clone of the Bioconductor repository for the scRNAseq package.

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simGWAS

Simulating the expected output from a GWAS with a given causal model.

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snakemake

This is the development home of the workflow management system Snakemake. For general information, see

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spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

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topr

topr is a collection of plotting functions for visualizing and exploring genetic association results. Association results from multiple phenotypes can be viewed simultaneously, over the entire genome (Manhattan plot) or in the more detailed regional view.

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zinb_analysis

Data analysis and simulations for the ZINB-WaVE paper

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