Mercurial > repos > miller-lab > genome_diversity
annotate rank_pathways.xml @ 7:e29f4d801bb0
change wsf -> snp; wpf -> sap
author | Richard Burhans <burhans@bx.psu.edu> |
---|---|
date | Wed, 18 Apr 2012 11:12:21 -0400 |
parents | 2c498d40ecde |
children | 9b92372de9f6 |
rev | line source |
---|---|
0 | 1 <tool id="gd_calc_freq" name="Rank" version="1.0.0"> |
2 <description>affected KEGG pathways</description> | |
3 | |
4 <command interpreter="python"> | |
5 #if str($output_format) == 'a' | |
6 calctfreq.py | |
7 #else if str($output_format) == 'b' | |
8 calclenchange.py | |
9 #end if | |
10 "--loc_file=${GALAXY_DATA_INDEX_DIR}/gd.rank.loc" | |
11 "--species=${input.metadata.dbkey}" | |
12 "--input=${input}" | |
13 "--output=${output}" | |
14 "--posKEGGclmn=${input.metadata.kegg_path}" | |
15 "--KEGGgeneposcolmn=${input.metadata.kegg_gene}" | |
16 </command> | |
17 | |
18 <inputs> | |
7
e29f4d801bb0
change wsf -> snp; wpf -> sap
Richard Burhans <burhans@bx.psu.edu>
parents:
0
diff
changeset
|
19 <param name="input" type="data" format="sap" label="Table"> |
0 | 20 <validator type="metadata" check="kegg_gene,kegg_path" message="Missing KEGG gene code column and/or KEGG pathway code/name column metadata. Click the pencil icon in the history item to edit/save the metadata attributes" /> |
21 </param> | |
22 <param name="output_format" type="select" label="Output format"> | |
23 <option value="a" selected="true">ranked by percentage of genes affected</option> | |
24 <option value="b">ranked by change in length and number of paths</option> | |
25 </param> | |
26 </inputs> | |
27 | |
28 <outputs> | |
29 <data name="output" format="tabular" /> | |
30 </outputs> | |
31 | |
32 <tests> | |
33 <test> | |
7
e29f4d801bb0
change wsf -> snp; wpf -> sap
Richard Burhans <burhans@bx.psu.edu>
parents:
0
diff
changeset
|
34 <param name="input" value="test_in/sample.sap" ftype="sap" /> |
0 | 35 <param name="output_format" value="a" /> |
36 <output name="output" file="test_out/rank_pathways/rank_pathways.tabular" /> | |
37 </test> | |
38 </tests> | |
39 | |
40 <help> | |
41 **What it does** | |
42 | |
43 This tool produces a table ranking the pathways based on the percentage | |
44 of genes in an input dataset, out of the total in each pathway. | |
45 Alternatively, the tool ranks the pathways based on the change in | |
46 length and number of paths connecting sources and sinks. This change is | |
47 calculated between graphs representing pathways with and without excluding | |
48 the nodes that represent the genes in an input list. Sources are all | |
49 the nodes representing the initial reactants/products in the pathway. | |
50 Sinks are all the nodes representing the final reactants/products in | |
51 the pathway. | |
52 | |
53 If pathways are ranked by percentage of genes affected, the output is | |
54 a tabular dataset with the following columns: | |
55 | |
56 1. number of genes in the pathway present in the input dataset | |
57 2. percentage of the total genes in the pathway included in the input dataset | |
58 3. rank of the frequency (from high freq to low freq) | |
59 4. name of the pathway | |
60 | |
61 If pathways are ranked by change in length and number of paths, the | |
62 output is a tabular dataset with the following columns: | |
63 | |
64 1. change in the mean length of paths between sources and sinks | |
65 2. mean length of paths between sources and sinks in the pathway including the genes in the input dataset. If the pathway do not have sources/sinks, the length is assumed to be infinite (I) | |
66 3. mean length of paths between sources and sinks in the pathway excluding the genes in the input dataset. If the pathway do not have sources/sinks, the length is assumed to be infinite (I) | |
67 4. rank of the change in the mean length of paths between sources and sinks (from high change to low change) | |
68 5. change in the number of paths between sources and sinks | |
69 6. number of paths between sources and sinks in the pathway including the genes in the input dataset. If the pathway do not have sources/sinks, it is assumed to be a circuit (C) | |
70 7. number of paths between sources and sinks in the pathway excluding the genes in the input dataset. If the pathway do not have sources/sinks, it is assumed to be a circuit (C) | |
71 8. rank of the change in the number of paths between sources and sinks (from high change to low change) | |
72 9. name of the pathway | |
73 </help> | |
74 </tool> |