R-package for structural equation modeling based on GWAS summary data

Tutorial for running Mendelian Randomization analysis using R

📮 A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool For Genome-Wide Association Study

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 geno…

Multi-Omics Factor Analysis

GWAS Tutorial for Beginners

A collection of commonly used resources for complex trait genetics.

A nextflow pipeline to perform state-of-the-art genome-wide association studies.

A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/

📊 Circular and Rectangular Manhattan Plot

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

Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the …

Documentation for the ANNOVAR software

R package for "sum of single effects" regression.

Organize your project into a research website

The SomaDataIO package loads and exports 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' proprietary data file, called an ADAT ('*.adat'). The package also exports auxiliary functions for m…

Polygenic prediction via continuous shrinkage priors

TCSC (Tissue co-regulation score regression) is a statistical genetics method to identify causal tissues in diseases and complex traits.

Python command line tool for Multi-Trait Analysis of GWAS (MTAG)

Workshop • Analysis of RNA-seq data

scATAC-seq data analysis tools and papers

Materials for NBIS workshop on data visulalization

Single cell RNA sequencing analysis course

R package for the joint analysis of multiple single-cell RNA-seq datasets

A web tool to do automatic spots detections and positional adjustments for Spatial Transcriptomics Datasets.

Causal Mixture Model for GWAS summary statistics