comparison pca_cosine.xml @ 1:d18e7db42633 draft

"planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/ commit 3b99f08f22b9e0c16c0a0adc82f8c16c1a25cedf"
author chemteam
date Mon, 07 Oct 2019 12:50:44 -0400
parents ebeb72aa39a8
children a842da7ef42b
comparison
equal deleted inserted replaced
0:ebeb72aa39a8 1:d18e7db42633
1 <tool id="mdanalysis_cosine_analysis" name="Cosine Content" version="@VERSION@"> 1 <tool id="mdanalysis_cosine_analysis" name="Cosine Content" version="@VERSION@">
2 <description>Measure the cosine content of the PCA projection</description> 2 <description>- measure the cosine content of the PCA projection</description>
3 <macros> 3 <macros>
4 <import>macros.xml</import> 4 <import>macros.xml</import>
5 </macros> 5 </macros>
6 <expand macro="requirements" /> 6 <expand macro="requirements" />
7 <command detect_errors="exit_code"> 7 <command detect_errors="exit_code">
8 <![CDATA[ 8 <![CDATA[
9 python '$__tool_directory__/pca_cosine.py' 9 python '$__tool_directory__/pca_cosine.py'
10 --idcd '$dcdin' 10 --itraj '$trajin'
11 --ipdb '$pdbin' 11 --istr '$strin'
12 --itrajext '$trajin.ext'
13 --istrext '$strin.ext'
12 --icomponents '$components' 14 --icomponents '$components'
13 --iindex '$index' 15 --iindex '$index'
14 --output '$output' 16 --output '$output'
15 --cosout '$cosout' 17 --cosout '$cosout'
16 2>&1 18 2>&1
33 <assert_contents> 35 <assert_contents>
34 <has_text text="0.5832533" /> 36 <has_text text="0.5832533" />
35 </assert_contents> 37 </assert_contents>
36 </output> 38 </output>
37 </test> 39 </test>
40 <test>
41 <expand macro="tests_inputs_gmx"/>
42 <param name="components" value="3"/>
43 <param name="index" value="0"/>
44 <output name="cosout">
45 <assert_contents>
46 <has_text text="0.583" />
47 </assert_contents>
48 </output>
49 </test>
38 </tests> 50 </tests>
39 <help><![CDATA[ 51 <help><![CDATA[
40 .. class:: infomark 52 .. class:: infomark
41 53
42 **What it does** 54 **What it does**
43 55
44 The cosine content of the principal components is a good indicator for determine good or bad sampling and can be use to determine the convergence of the MD simulation. 56 The cosine content of the principal components is a good indicator for determining the quality of the sampling and can be used to determine the convergence of the MD simulation.
45 This tool can calculate the cosine content of a user define PCA projection. 57 This tool can calculate the cosine content of a user-defined PCA projection. Note: it uses zero-based indexes (i.e. 0 is the first principal component).
46 This tool use zero based indexes (0 is PC1). 58
47
48 _____ 59 _____
49 60
50 61
51 .. class:: infomark 62 .. class:: infomark
52 63
61 .. class:: infomark 72 .. class:: infomark
62 73
63 **Output** 74 **Output**
64 75
65 - The cosine content value. 76 - The cosine content value.
66 - Tab-separated file of raw data of first three principle component. 77 - Tab-separated file of raw data of the first three principal components.
67 78
68 ]]></help> 79 ]]></help>
69 <expand macro="citations"> 80 <expand macro="citations">
70 <citation type="doi">10.1103/PhysRevE.65.031910</citation> 81 <citation type="doi">10.1103/PhysRevE.65.031910</citation>
71 </expand> 82 </expand>