comparison otu_category_significance.xml @ 0:e5c3175506b7 default tip

Initial tool configs for qiime, most need work.
author Jim Johnson <jj@umn.edu>
date Sun, 17 Jul 2011 10:30:11 -0500
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:e5c3175506b7
1 <tool id="otu_category_significance" name="otu_category_significance" version="1.2.0">
2 <description>OTU significance and co-occurence analysis</description>
3 <requirements>
4 <requirement type="binary">otu_category_significance.py</requirement>
5 </requirements>
6 <command interpreter="python">
7 qiime_wrapper.py
8 --galaxy_tmpdir='$__new_file_path__'
9 otu_category_significance.py
10 --otu_table_fp=$otu_table_fp
11 --category_mapping_fp=$category_mapping_fp
12 --category=$category
13 --test=$test
14 --output_fp=$output_fp
15 --filter=$filter
16 --threshold=$threshold
17 --otu_include_fp=$otu_include_fp
18 </command>
19 <inputs>
20 <param name="otu_table_fp" type="data" format="txt" label="otu_table_fp"
21 help="path to the otu table, or to a directory containing OTU tables [REQUIRED]"/>
22 <param name="category_mapping_fp" type="data" format="tabular" label="category_mapping_fp"
23 help="path to category mapping file [REQUIRED]"/>
24 <param name="category" type="text" label="category"
25 help="name of category over which to run the analysis [REQUIRED]"/>
26 <param name="test" type="text" value="g_test" label="test"
27 help="the type of statistical test to run. options are: g_test: determines whether OTU presence/absence is associated with a category using the G test of independence. ANOVA: determines whether OTU abundance is associated with a category. correlation: determines whether OTU abundance is correlated with a continuous variable in the category mapping file."/>
28 <param name="filter" type="text" value="10" label="filter"
29 help="minimum number of samples that must contain the OTU for the OTU to be included in the analysis. default value=10."/>
30 <param name="threshold" type="text" label="threshold"
31 help="threshold under which to consider something absent: Only used if you have numerical data that should be converted to present or absent based on a threshold. Should be None for categorical data or with the correlation test. default value is None"/>
32 <param name="otu_include_fp" type="data" format="txt" label="otu_include_fp"
33 help="path to a file with a list of OTUs to evaluate. By default evaluates all OTUs that pass the minimum sample filter. If a filepath is given here in which each OTU name one wishes to evaluate is on a separate line, will apply this additional filter"/>
34 </inputs>
35 <outputs>
36 <data format="txt" name="output_fp"/>
37 </outputs>
38 <tests>
39 </tests>
40 <help>
41
42 </help>
43 </tool>
44