GwasQcPipeline Documentation

The CGR GwasQcPipeline generates a number of sample level QC metrics followed by several filtering criteria. Samples are then split into ancestral populations and examined for relatedness, population structure, and genotyping errors. The full workflow is pictured in Fig. 1.

Fig. 1 The CGR GwasQcPipeline.

Getting Started

• Installing GwasQcPipeline
• Running the Pipeline
• Configuration Files

CGR GwasQcPipeline is designed to be an easy to deploy to multiple cluster systems. It is built on top of snakemake but packaged into as an easy to install python utility. This lets us take advantage of snakemake’s amazing workflow management system, while adding a custom library of helper tools.

QC Sub Workflows

• Entry Points Sub-workflow
• Contamination Sub-workflow
• Sample QC Sub-workflow
• Subject QC Sub-workflow
• Delivery Sub-workflow

CGR GwasQcPipeline is broken into 5 sub-workflows. Each sub-workflow can be run independently, as long as all previous sub-workflows are complete. For example, the Sample QC sub-workflow requires the Entry Points sub-workflow (and optionally the Contamination) to be complete. Here we describe the various steps that each sub-workflow runs, the config options, and a summary of the generated outputs.

User Reference

• File Type Reference

Developer Reference

• Development Environment Set-up
• Working with Documentation
• Working with Source Code
• Working with Test Suite

API Reference

• API Reference

To Do