0
|
1 <tool id="secimtools_threshold_based_flags" name="Threshold Based Flags" version="@WRAPPER_VERSION@">
|
|
2 <description>to flag features based on a user-specified threshold.</description>
|
|
3 <macros>
|
|
4 <import>macros.xml</import>
|
|
5 </macros>
|
|
6 <expand macro="requirements" />
|
|
7 <command><![CDATA[
|
|
8 threshold_based_flags.py
|
|
9 --input $input
|
|
10 --design $design
|
|
11 --ID $uniqID
|
|
12 --output $output
|
|
13 --group $group
|
|
14
|
|
15 #if $cutoff:
|
|
16 --cutoff $cutoff
|
|
17 #end if
|
|
18 ]]></command>
|
|
19 <inputs>
|
|
20 <param name="input" type="data" format="tabular" label="Wide Dataset" help="Input dataset in wide format and tab separated. If file is not tab separated see TIP below."/>
|
|
21 <param name="design" type="data" format="tabular" label="Design File" help="Design file tab separated. Note you need a 'sampleID' column. If not tab separated see TIP below."/>
|
|
22 <param name="uniqID" type="text" size="30" value="" label="Unique Feature ID" help="Name of the column in your Wide Dataset that has unique Feature IDs."/>
|
|
23 <param name="group" type="text" size="30" label="Group/Treatment" help="Name of the column in your Design File that contains group classifications. The resulting indicator flags will generated for these group categories." />
|
|
24 <param name="cutoff" type="integer" optional="true" size="6" value="30000" label="Cutoff" help="Cutoff to use for which values to flag. Defaults = 30,000."/>
|
|
25 </inputs>
|
|
26 <outputs>
|
|
27 <data format="tabular" name="output" label="${tool.name} on ${on_string}" />
|
|
28 </outputs>
|
|
29 <tests>
|
|
30 <test>
|
|
31 <param name="input" value="ST000006_data.tsv"/>
|
|
32 <param name="design" value="ST000006_design.tsv"/>
|
|
33 <param name="uniqID" value="Retention_Index" />
|
|
34 <param name="group" value="White_wine_type_and_source" />
|
|
35 <param name="cutoff" value="3000" />
|
|
36 <output name="output" file="ST000006_threshold_based_flags_output.tsv" />
|
|
37 </test>
|
|
38 </tests>
|
|
39 <help><![CDATA[
|
|
40
|
|
41 @TIP_AND_WARNING@
|
|
42
|
|
43 **Tool Description**
|
|
44
|
|
45 This tool flags a feature in a given group with a binary indicator if, for half (or more) of the samples within the group, the feature value is below a user specified threshold or is missing.
|
|
46 The default threshold value of 30,000 is primarily useful for peak intensities from mass spectroscopy data and should be evaluated carefully for other types of values (e.g. for peak height).
|
|
47
|
|
48 --------------------------------------------------------------------------------
|
|
49
|
|
50
|
|
51 **Input**
|
|
52
|
|
53 - Two input datasets are required.
|
|
54
|
|
55 @WIDE@
|
|
56
|
|
57 **NOTE:** The sample IDs must match the sample IDs in the Design File (below).
|
|
58 Extra columns will automatically be ignored.
|
|
59
|
|
60 @METADATA@
|
|
61
|
|
62 @UNIQID@
|
|
63
|
|
64 @GROUP@
|
|
65
|
|
66 **Cutoff Value**
|
|
67
|
|
68 - Cutoff to use for which values to flag. Default = 30,000.
|
|
69
|
|
70 --------------------------------------------------------------------------------
|
|
71
|
|
72 **Output**
|
|
73
|
|
74 This tool outputs a TSV file containing indicator flags for each group, where the number of indicator flags is determined by the number of groups.
|
|
75
|
|
76 ]]></help>
|
|
77 <expand macro="citations"/>
|
|
78 </tool>
|