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witsGWAS cheat sheet
magosil86 edited this page Aug 31, 2015
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witsGWAS is a simple human GWAS analysis workflow for data quality control (QC) and basic association testing.
It was built using the Ruffus python library and employs the Rubra pipeline system for bioinformatics workflows to run tasks/jobs on a distributed computer cluster.
see Guide or type rubra -h
at the unix prompt
Action | Syntax |
---|---|
generate pipeline flowchart | rubra pipeline_name.py --config pipeline_name_config.py pipeline_name_stages_config.py PipelineUserInput.py --style flowchart |
generate pipeline printout | rubra pipeline_name.py --config pipeline_name_config.py pipeline_name_stages_config.py PipelineUserInput.py --style printout |
run pipeline | rubra pipeline_name.py --config pipeline_name_config.py pipeline_name_stages_config.py PipelineUserInput.py --style run |
repeat tasks | rubra pipeline_name.py --config pipeline_name_config.py pipeline_name_stages_config.py PipelineUserInput.py --force 'task_name' --style run |
run part of the pipeline | rubra pipeline_name.py --config pipeline_name_config.py pipeline_name_stages_config.py PipelineUserInput.py --end 'task_name' --style run |
see Guide
Action | Syntax |
---|---|
stop pipeline run | ctrl -c |
Home | About | Setup guide | Running pipelines | Extending pipelines | FAQ | © 2015 witsGWAS
About witsGWAS
Getting started
Dockerized pipeline
Running pipelines
- How witsGWAS pipelines work
- Affymetrix QC pipeline
- PLINK QC pipeline
- Association testing pipeline
- Timing of pipeline runs
- witsGWAS cheat sheet
Extending pipelines
Advanced GWAS topics
Getting help