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split_15
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### This is the first tool in the eQTL mapper workflow: 
split_15, qtlmap_15, save_z_15, integrate_15

Link to the workflow (for import): http://chewbacca.bi.up.ac.za:8080/u/nanette/w/15-parallel

The input e-trait data are split into 15 .inp files (each containing the same number of e-traits).

This makes 15 parallel runs possible, to reduce the running time of large eQTL datasets. 

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Installation
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The eQTL mapper pipeline is available for: 
* command line usage
* integration into Galaxy servers


Requirements: Python 2.7