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# JASS analysis pipeline
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## Overview
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We present here a nextflow pipeline to harmonize, impute and analyze jointly GWAS summary statistics.

The current pipeline integrate the following workflow:

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![workflow image](./doc/workflow.png=650x570)
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## Required Input
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The following Item are necessary to run JASS pipeline

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1. --meta_data : A path toward a meta-data file describing GWAS (see example file in ./input_files/test1.csv)
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2. --gwas_folder : A path toward a folder containing the summary statistics to analyze
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3. --ref_panel :A folder containing a Reference Panel in the .bim, .bed, .fam format
4. --ld-folder : A path toward a folder containing LD matrices (that can be generated from the reference panel with the raiss package as described here : http://statistical-genetics.pages.pasteur.fr/raiss/#precomputation-of-ld-correlation)
5. --group If you wish to compute joint analyses with the pipeline, a group file with the each phenotype group written on a separated line

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## Optional parameters
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* --output_folder : A path toward a folder to write pipeline results (inittable, worktable...). by default results will be publish in the workflow directory.
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## Usage of nextflow pipeline

Install nextflow as explain here : https://www.nextflow.io/docs/latest/getstarted.html


Clone the current repository locally:

```
    git clone https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline.git
```

Once done you can launch the pipeline as: