Mercurial > repos > tomnl > create_sqlite_db
comparison create_sqlite_db.xml @ 4:ff61a6fb23bf draft
planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit 9ea2ca0892fa55c21491c93afba790e8d9427e01-dirty
author | tomnl |
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date | Wed, 04 Apr 2018 17:08:30 -0400 |
parents | 2766f2a85997 |
children | 9ab472c5714c |
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3:2766f2a85997 | 4:ff61a6fb23bf |
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1 <tool id="create_sqlite_db" name="create_sqlite_db" version="0.0.3"> | 1 <tool id="create_sqlite_db" name="create_sqlite_db" version="0.0.4"> |
2 <description> | |
3 Create SQLite database of an XCMS-CAMERA dataset | |
4 </description> | |
5 | |
6 | |
2 <macros> | 7 <macros> |
3 <import>macros.xml</import> | 8 <import>macros.xml</import> |
4 </macros> | 9 </macros> |
5 | 10 |
6 <expand macro="requirements"> | 11 <expand macro="requirements"> |
7 <!-- would ideally have xcms 3.0.0 but not available in bioconda at the point of tool creation--> | 12 |
8 </expand> | 13 </expand> |
9 | 14 |
10 <description> | 15 |
11 Create SQLite database of an XCMS-CAMERA dataset | |
12 </description> | |
13 <stdio> | 16 <stdio> |
14 <exit_code range="1:" /> | 17 <exit_code range="1:" /> |
15 </stdio> | 18 </stdio> |
16 <command interpreter="Rscript"><![CDATA[ | 19 <command interpreter="Rscript"><![CDATA[ |
17 create_sqlite_db.R | 20 create_sqlite_db.R |
70 <expand macro="fileload" /> | 73 <expand macro="fileload" /> |
71 | 74 |
72 </inputs> | 75 </inputs> |
73 <outputs> | 76 <outputs> |
74 <data name="lcms_data_sqlite" format="sqlite" label="${tool.name} on ${on_string}: LC-MS(/MS) data SQLite db" | 77 <data name="lcms_data_sqlite" format="sqlite" label="${tool.name} on ${on_string}: LC-MS(/MS) data SQLite db" |
75 from_work_dir="lcms_data.sqlite" visible="true"/> | 78 from_work_dir="lcms_data.sqlite" /> |
76 <data name="cpeakgroup_msms" format="sqlite" label="${tool.name} on ${on_string}: c-peak-group-msms" | 79 <data name="cpeakgroup_msms" format="sqlite" label="${tool.name} on ${on_string}: c-peak-group-msms" |
77 from_work_dir="cpeakgroup_msms.tsv" visible="true"/> | 80 from_work_dir="cpeakgroup_msms.tsv" /> |
78 | 81 |
79 </outputs> | 82 </outputs> |
80 <tests> | 83 <tests> |
81 <test> | 84 <test> |
82 <conditional name="file_load_conditional"> | 85 <conditional name="file_load_conditional"> |
95 <param name="pa" value="frag4feature.rdata"/> | 98 <param name="pa" value="frag4feature.rdata"/> |
96 <output name="cpeakgroup_msms" value="cpeakgroup_msms.tsv" > | 99 <output name="cpeakgroup_msms" value="cpeakgroup_msms.tsv" > |
97 </output> | 100 </output> |
98 </test> | 101 </test> |
99 </tests> | 102 </tests> |
100 <expand macro="citations" /> | 103 |
101 <help><![CDATA[ | 104 <help><![CDATA[ |
102 ============================================================= | 105 ============================================================= |
103 Create SQLite database for LC-MS(/MS) dataset | 106 Create SQLite database for LC-MS(/MS) dataset |
104 ============================================================= | 107 ============================================================= |
105 Create an SQLite database for the msPurity and XCMS (CAMERA) outputs. The SQLite database created can | 108 Create an SQLite database for the msPurity and XCMS (CAMERA) outputs. The SQLite database created can |
112 ----------- | 115 ----------- |
113 * lcms_sqlite: An SQLite database of the LC-MS(/MS) data (including fragmentation scans) | 116 * 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 | 117 * cpeakgroup_msms: A csv file for all grouped features that have associated fragmentation spectra |
115 | 118 |
116 ]]></help> | 119 ]]></help> |
117 | 120 <expand macro="citations" /> |
118 </tool> | 121 </tool> |