Welcome to the GDC Documentation!
This project provides tools and pipelines for interacting with the Genomic Data Commons (GDC). It is designed to run efficiently on high-performance clusters like the UMN MSI Agate cluster.
Contents:
- Installation
- New HPC Setup Guide
- Genomics
- Usage
- Tutorial: Quality Control Pipeline in Practice
- Tutorial: Ancestry Classification in Practice
- Tutorial: Assembling 1000 Genomes Reference Data
- Tutorial: SNP Heritability Estimation
- Tutorial: Phenotype Simulation and Heritability Estimation
- Developer Guide: Computing Environment Abstraction
- Linux / vi cheatsheet
- Overview
- Genome formats
- Overview
- Table legend
- Data format conversion
- Sample and variant selection
- Missingness
- Allele frequency
- Hardy-Weinberg equilibrium
- Heterozygosity / inbreeding
- Sex check
- LD pruning
- Relatedness
- PLINK2 flag quick-reference
- See also
Getting Started
Recommended Learning Pathway:
Installation - Set up software environment
Usage - Learn how to run the pipeline
Tutorial: Assembling 1000 Genomes Reference Data - Download reference data
Tutorial: Quality Control Pipeline in Practice - Run quality control
Tutorial: Ancestry Classification in Practice - Classify ancestry
Tutorial: Phenotype Simulation and Heritability Estimation - Simulate phenotypes for method testing
Tutorial: SNP Heritability Estimation - Estimate heritability (with real phenotypes)
Quick Setup (MSI/UMN HPC):
module use /path/to/GDCGenomicsQC/envs
module load gdcgenomicsMSI
conda activate snakemake
cd GDCGenomicsQC
snakemake --version
See also: Usage for detailed instructions on running the pipeline with module load or local snakemake.