Run SEER with fewer headaches
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Updated
Sep 9, 2016 - Python
Run SEER with fewer headaches
Find risk snp in the LD region of GWAS snps by convolutional neural network
heterPlotter package can plot heterozygosity information of hapmap(female and F1) files and pvalue information you use the same hapmap file to calculate GWAS, besides it can also draw the relative gene feature on the top of the plot
Repo for code and data related to project developing methodology for applying Harmonic Mean P-Values to sliding windows of multiple aligned genomes.
GWAS Pre-Processing Pipeline
An early prototype of the GWAS Diversity Monitor, written in Bokeh
A comparative analysis of stratified vs. mega analysis strategies for GWAS.
Pipeline to implement a "TAD_Pathways" analysis. Discover candidate genes based on association signals in TADs
A python script to remove duplicate snps from plink files and recode the resultant files into plink binaries free of duplicate snps
A package for detecting epistasis by machine learning
Python package for reading, combining, meta-analyzing, and saving GWAS summary statistics data.
Python library to work with PLINK files.
tool for continuously integrated meta-resource
Explaining the genetic causality for complex diseases by deep association kernel learning
DGRPy is a python package for DGRP microbiome data analysis
Population Structured Bayesian Epistasis Association Mapping
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