Mercurial > repos > tomnl > create_sqlite_db
comparison create_sqlite_db.xml @ 0:fe7d7cc95ca5 draft
planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit 2e847122cf605951c334858455fc1d3ebdb189e9-dirty
author | tomnl |
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date | Tue, 27 Mar 2018 06:03:50 -0400 |
parents | |
children | 3a3aab720f52 |
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-1:000000000000 | 0:fe7d7cc95ca5 |
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1 <tool id="create_sqlite_db" name="create_sqlite_db" version="0.0.1"> | |
2 <macros> | |
3 <import>macros.xml</import> | |
4 </macros> | |
5 | |
6 <expand macro="requirements"> | |
7 <!-- would ideally have xcms 3.0.0 but not available in bioconda at the point of tool creation--> | |
8 </expand> | |
9 | |
10 <description> | |
11 Create SQLite database of an XCMS-CAMERA dataset | |
12 </description> | |
13 <stdio> | |
14 <exit_code range="1:" /> | |
15 </stdio> | |
16 <command interpreter="Rscript"><![CDATA[ | |
17 create_sqlite_db.R | |
18 --out_dir=. | |
19 --xset_xa=$xset_xa | |
20 --pa=$pa | |
21 --xcms_camera_option=$camera_xcms | |
22 --cores=\${GALAXY_SLOTS:-4} | |
23 #if $file_load_conditional.file_load_select=="yes" | |
24 --mzML_files=' | |
25 #for $i in $file_load_conditional.input | |
26 $i, | |
27 #end for | |
28 ' | |
29 --galaxy_names=' | |
30 #for $i in $file_load_conditional.input | |
31 $i.name, | |
32 #end for | |
33 ' | |
34 #end if | |
35 | |
36 #if $eic | |
37 --eic | |
38 #end if | |
39 #if $raw_rt_columns | |
40 --raw_rt_columns | |
41 #end if | |
42 #if $grp_peaklist_opt.grp_peaklist_opt=="yes" | |
43 --grp_peaklist=$grp_peaklist | |
44 #end if | |
45 | |
46 ]]></command> | |
47 <inputs> | |
48 | |
49 | |
50 <param type="data" name="xset_xa" label="xcmsSet or CAMERA object" | |
51 help="Either xcmsSet object saved as 'xset' or CAMERA 'xa' object in an RData file. Please | |
52 specify which to use below" format="rdata.xcms.raw,rdata.xcms.group,rdata.xcms.retcor,rdata.xcms.fillpeaks,rdata.camera.quick,rdata.camera.positive,rdata.camera.negative,rdata"/> | |
53 <expand macro="camera_xcms" /> | |
54 | |
55 <param type="data" name="pa" label="purityA object" format="rdata" | |
56 help="purityA object saved as 'pa' in a RData file (output from assess_purity_msms)"/> | |
57 | |
58 <param name="eic" type="boolean" label="Include EIC data?" | |
59 help="The Extracted Ion Chromatogram can be calculated for each peak and stored in | |
60 the database. Note, this will take considerable time for large datasets and | |
61 the resulting SQLite database can be large"/> | |
62 | |
63 <param name="raw_rt_columns" type="boolean" label="Use user defined Raw RT columns?" | |
64 help="Only use if the track_rt_raw tool has been used"/> | |
65 | |
66 | |
67 <expand macro="grp_peaklist" /> | |
68 | |
69 | |
70 <expand macro="fileload" /> | |
71 | |
72 </inputs> | |
73 <outputs> | |
74 <data name="lcms_data_sqlite" format="sqlite" label="${tool.name} on ${on_string}: LC-MS(/MS) data SQLite db" | |
75 from_work_dir="lcms_data.sqlite" visible="true"/> | |
76 <data name="cpeakgroup_msms" format="sqlite" label="${tool.name} on ${on_string}: c-peak-group-msms" | |
77 from_work_dir="cpeakgroup_msms.tsv" visible="true"/> | |
78 | |
79 </outputs> | |
80 <tests> | |
81 <test> | |
82 <conditional name="file_load_conditional"> | |
83 <param name="file_load_select" value="yes"/> | |
84 <param name="input" > | |
85 <collection type="list"> | |
86 <element name="LCMS_1.mzML" value="LCMS_1.mzML"/> | |
87 <element name="LCMS_2.mzML" value="LCMS_2.mzML"/> | |
88 <element name="LCMSMS_1.mzML" value="LCMSMS_1.mzML"/> | |
89 <element name="LCMSMS_2.mzML" value="LCMSMS_2.mzML"/> | |
90 </collection> | |
91 </param> | |
92 </conditional> | |
93 <param name="camera_xcms" value="xcms"/> | |
94 <param name="xset_xa" value="LCMS_1_LCMS_2_LCMSMS_1_LCMSMS_2.xset.group.rdata"/> | |
95 <param name="pa" value="frag4feature.rdata"/> | |
96 <output name="cpeakgroup_msms" value="cpeakgroup_msms.tsv" > | |
97 </output> | |
98 </test> | |
99 </tests> | |
100 <expand macro="citations" /> | |
101 <help><![CDATA[ | |
102 ============================================================= | |
103 Create SQLite database for LC-MS(/MS) dataset | |
104 ============================================================= | |
105 Create an SQLite database for the msPurity and XCMS (CAMERA) outputs. The SQLite database created can | |
106 be used as input to the spectral_matching tool. | |
107 | |
108 Please note that getting the extracted ion chromatograms can take a long time if the dataset has a large number of files and peaks. | |
109 | |
110 ----------- | |
111 Output | |
112 ----------- | |
113 * lcms_sqlite: An SQLite database of the LC-MS(/MS) data (including fragmentation scans) | |
114 * cpeakgroup_msms: A csv file for all grouped features that have associated fragmentation spectra | |
115 | |
116 ]]></help> | |
117 | |
118 </tool> |