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+======================================================================
+frequency_sliding
+======================================================================
+### 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).
+
+
+---------------
+Installation
+---------------
+
+The eQTL backend pipeline is available for: 
+* command line usage
+* integration into Galaxy servers
+
+
+Requirements: 	Python 2.7
+		R 3.1.1
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