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classification
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### This is the second tool in the eQTL backend pipeline: 
lookup, classification, frequency, sliding window frequency, hotspots, GO enrichment

Link to the workflow (for import into Galaxy): http://chewbacca.bi.up.ac.za:8080/u/nanette/w/back-end-workflow-2

Calculates the average genetic interval size across all eQTLs.

Classifies an eQTL as 'cis' if it maps within half the above mentioned interval size of the gene exhibiting the eQTL.

Classifies an eQTL as 'trans' if it maps to a different region on the genome than the location of the gene exhibiting the eQTL (further away than half the above mentioned interval size from the gene).

Classifies an eQTL as 'no_result' if the location of the target gene is not known. 

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


Requirements: 	Python 2.7
		R 3.1.1