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frequency_sliding
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### This is the fourth 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

Combine x cM intervals (size of lookup bins; for example 2 cM), to be used in a sliding window approach.

For 2 cM lookup bins:

* For two intervals per sliding window, intervals smaller than 2 cM are combined with its two flanking 2 cM intervals.
Calculate the number of eQTLs per sliding window (4 - 5.9 cM intervals).
Calculate the number of genes per sliding window (4 - 5.9 cM intervals).

* For three intervals per sliding window, intervals smaller than 2 cM are combined with 3 flanking 2 cM intervals.
Calculate the number of eQTLs per sliding window (6 - 7.9 cM intervals).
Calculate the number of genes per sliding window (6 - 7.9 cM intervals).


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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