comparison target_screen.xml @ 1:6d51be3d7bb5 draft default tip

planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/misc commit d6102c60e41d91adf1c7a876f84ef420a69262e2
author recetox
date Mon, 12 May 2025 14:05:37 +0000
parents d4c2d5bc0524
children
comparison
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0:d4c2d5bc0524 1:6d51be3d7bb5
1 <tool id="target_screen" name="MS target screening" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.01" license="MIT"> 1 <tool id="target_screen" name="MS Target Screening" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.01" license="MIT">
2 <description>Extract peaks from recetox-aplcms tables using a list of target ions</description> 2 <description>Extract peaks from recetox-aplcms tables using a list of target ions</description>
3 <macros> 3 <macros>
4 <token name="@TOOL_VERSION@">0.1.0</token> 4 <token name="@TOOL_VERSION@">0.1.0</token>
5 <token name="@VERSION_SUFFIX@">0</token> 5 <token name="@VERSION_SUFFIX@">1</token>
6 </macros> 6 </macros>
7 7
8 <requirements> 8 <requirements>
9 <requirement type="package" version="2.2.3">pandas</requirement> 9 <requirement type="package" version="2.2.3">pandas</requirement>
10 <requirement type="package" version="17.0.0">pyarrow</requirement> 10 <requirement type="package" version="17.0.0">pyarrow</requirement>
11 </requirements> 11 </requirements>
12 12
13 <command detect_errors="exit_code"><![CDATA[ 13 <command detect_errors="exit_code"><![CDATA[
14 python3 '${__tool_directory__}/target_screen.py' --peaks '$peaks' --markers '$markers' --output '$hits' --ppm $ppm --rt_tol $rt 14 python3 '${__tool_directory__}/target_screen.py' --peaks '$peaks' '$peaks.ext' --markers '$markers' '$markers.ext' --output '$hits' --ppm $ppm --rt_tol $rt
15 ]]></command> 15 ]]></command>
16 16
17 <inputs> 17 <inputs>
18 <param name="peaks" type="data" format="parquet"/> 18 <param name="peaks" type="data" format="parquet,tabular,tsv,csv" label="Peaks Table" help="Input table containing detected peaks in Parquet format. Each row should represent a peak with columns for m/z, retention time, and intensity." />
19 <param name="markers" type="data" format="tabular"/> 19 <param name="markers" type="data" format="parquet,tabular,tsv,csv" label="Target Markers Table" help="Input table containing target markers in tabular format. Each row should represent a marker with columns for m/z and retention time." />
20 <param name="ppm" type="integer" min="0" max="1000" value="10" label="ppm" help="Tolerance for peak filtering in ppm." /> 20 <param name="ppm" type="integer" min="0" max="1000" value="10" label="Mass Tolerance (ppm)" help="Tolerance for filtering peaks based on mass-to-charge ratio (m/z) in parts per million (ppm). The tolerance is applied symmetrically (±), so a value of 10 will match peaks within ±10 ppm of the target m/z." />
21 <param name="rt" type="integer" min="0" max="100" value="10" label="rt tolerance" help="Toelrance regarding retention time to filter out peaks" /> 21 <param name="rt" type="integer" min="0" max="100" value="10" label="Retention Time Tolerance" help="Tolerance for filtering peaks based on retention time in the same units as the input data. The tolerance is applied symmetrically (±), so a value of 10 will match peaks within ±10 units of the target retention time." />
22 </inputs> 22 </inputs>
23 23
24 <outputs> 24 <outputs>
25 <data name="hits" format="tabular" label="${tool.name} on ${on_string}" /> 25 <data name="hits" format="tabular" label="Filtered Peaks (${tool.name} on ${on_string})" />
26 </outputs> 26 </outputs>
27 27
28 <tests> 28 <tests>
29 <test> 29 <test>
30 <param name="peaks" value="target_screen/peaks.parquet"/> 30 <param name="peaks" value="target_screen/peaks.parquet"/>
36 36
37 .. class:: infomark 37 .. class:: infomark
38 38
39 **What it does** 39 **What it does**
40 40
41 This tool pulls out peaks from a table given a list of markers. 41 This tool extracts peaks from a table of detected peaks based on a list of target markers. Peaks are matched to markers using a specified tolerance for mass-to-charge ratio (ppm) and retention time. Both tolerances are applied symmetrically (±). For example, if the retention time tolerance is set to 10, peaks within ±10 units of the target retention time will be matched.
42 The markers are matched based on m/z values with a specified ppm tolerance and matched based on retention time with a tolerance in units of retention time. 42
43 **Inputs**
44
45 1. **Peaks Table (Parquet Format)**:
46 A table containing detected peaks. The table should be in Parquet format and include the following columns:
47
48 - `mz`: Mass-to-charge ratio (m/z) of the peak.
49 - `rt`: Retention time of the peak.
50 - `intensity`: Intensity of the peak.
51
52 Example Peaks Table:
53
54 .. list-table:: Example Peaks Table
55 :header-rows: 1
56
57 * - mz
58 - rt
59 - intensity
60 * - 100.123
61 - 5.2
62 - 1500
63 * - 200.456
64 - 10.5
65 - 3000
66
67 2. **Target Markers Table (Tabular Format)**:
68 A table containing target markers. The table should be in tabular format and include the following columns:
69
70 - `mz`: Mass-to-charge ratio (m/z) of the marker.
71 - `rt`: Retention time of the marker.
72
73 Example Markers Table:
74
75 .. list-table:: Example Markers Table
76 :header-rows: 1
77
78 * - mz
79 - rt
80 * - 100.123
81 - 5.2
82 * - 200.456
83 - 10.5
84
85 **Parameters**
86
87 - **Mass Tolerance (ppm)**:
88 The tolerance for matching peaks to markers based on their mass-to-charge ratio (m/z). The value is specified in parts per million (ppm). The tolerance is applied symmetrically (±), so a value of 10 will match peaks within ±10 ppm of the target m/z.
89
90 - **Retention Time Tolerance**:
91 The tolerance for matching peaks to markers based on their retention time. The value is specified in the same units as the input data. The tolerance is applied symmetrically (±), so a value of 10 will match peaks within ±10 units of the target retention time.
92
93 **Outputs**
94
95 - **Filtered Peaks Table**:
96 A tabular file containing the peaks that matched the target markers based on the specified tolerances.
97
98 **Example Usage**
99
100 This tool can be used to filter peaks from a mass spectrometry dataset based on a list of known target markers, enabling targeted analysis of specific compounds.
43 ]]></help> 101 ]]></help>
44 <citations> 102 <citations>
45 <citation type="doi">10.25080/Majora-92bf1922-00a</citation> 103 <citation type="doi">10.25080/Majora-92bf1922-00a</citation>
46 </citations> 104 </citations>
47 </tool> 105 </tool>