comparison frequency_sliding/readme.txt @ 0:9b835eab8a1d draft

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author nanettec
date Fri, 18 Mar 2016 05:22:30 -0400
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2 frequency_sliding
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4 ### This is the fourth tool in the eQTL backend pipeline:
5 lookup, classification, frequency, sliding window frequency, hotspots, GO enrichment
6
7 Link to the workflow (for import into Galaxy): http://chewbacca.bi.up.ac.za:8080/u/nanette/w/back-end-workflow-2
8
9 Combine x cM intervals (size of lookup bins; for example 2 cM), to be used in a sliding window approach.
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11 For 2 cM lookup bins:
12
13 * For two intervals per sliding window, intervals smaller than 2 cM are combined with its two flanking 2 cM intervals.
14 Calculate the number of eQTLs per sliding window (4 - 5.9 cM intervals).
15 Calculate the number of genes per sliding window (4 - 5.9 cM intervals).
16
17 * For three intervals per sliding window, intervals smaller than 2 cM are combined with 3 flanking 2 cM intervals.
18 Calculate the number of eQTLs per sliding window (6 - 7.9 cM intervals).
19 Calculate the number of genes per sliding window (6 - 7.9 cM intervals).
20
21
22 ---------------
23 Installation
24 ---------------
25
26 The eQTL backend pipeline is available for:
27 * command line usage
28 * integration into Galaxy servers
29
30
31 Requirements: Python 2.7
32 R 3.1.1