Mercurial > repos > devteam > hgv_hilbertvis
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author | devteam |
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date | Tue, 03 Jun 2014 15:25:27 -0400 |
parents | de1d3f4e5277 |
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0 | 1 <tool id="hgv_hilbertvis" name="HVIS" version="1.0.0"> |
2 <description>visualization of genomic data with the Hilbert curve</description> | |
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3 <requirements> |
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4 <requirement type="package" version="2.11.0">R</requirement> |
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5 <requirement type="package" version="1.18.0">bioc_hilbertvis</requirement> |
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6 </requirements> |
0 | 7 <command interpreter="bash"> |
8 hilbertvis.sh $input $output $chromInfo "$chrom" $plot_value.score_col $level $mode | |
9 #if isinstance( $input.datatype, $__app__.datatypes_registry.get_datatype_by_extension('gff').__class__) | |
10 1 4 5 7 | |
11 #else | |
12 ${input.metadata.chromCol} ${input.metadata.startCol} ${input.metadata.endCol} ${input.metadata.strandCol} | |
13 #end if | |
14 </command> | |
15 | |
16 <inputs> | |
17 <param name="input" type="data" format="interval,gff" label="Dataset"> | |
18 <validator type="unspecified_build"/> | |
19 <validator type="metadata" check="chromCol" message="chromCol missing"/> | |
20 <validator type="metadata" check="startCol" message="startCol missing"/> | |
21 <validator type="metadata" check="endCol" message="endCol missing"/> | |
22 </param> | |
23 <param name="chrom" type="text" label="Sequence to plot" help="Name of sequence (from the chromosome column in the dataset) to plot. If left blank, the first sequence in the dataset will be plotted."/> | |
24 <conditional name="plot_value"> | |
25 <param name="choice" type="select" label="Value to plot"> | |
26 <option value="score" selected="true">Score column from dataset</option> | |
27 <option value="exist">Same value for each base (existence)</option> | |
28 </param> | |
29 <when value="score"> | |
30 <param name="score_col" type="data_column" data_ref="input" numerical="true" label="Score column"/> | |
31 </when> | |
32 <when value="exist"> | |
33 <param name="score_col" type="hidden" value="-1"/> | |
34 </when> | |
35 </conditional> | |
36 <param name="level" type="integer" value="9" label="Level" help="Level of Hilbert curve. The resulting image will have 2<sup>level</sup> by 2<sup>level</sup> pixels."> | |
37 <validator type="in_range" min="1" message="The level must be an integer >= 1."/> | |
38 </param> | |
39 <param name="mode" type="select" label="Summarization mode" help="Method used to determine a value for a point in the plot which covers multiple values in the input."> | |
40 <option value="max">Maximal value in each bin</option> | |
41 <option value="min">Minimal value in each bin</option> | |
42 <option value="absmax" selected="true">Maximal absolute value in each bin</option> | |
43 <option value="mean">Mean value of each bin</option> | |
44 </param> | |
45 </inputs> | |
46 | |
47 <outputs> | |
48 <data name="output" format="pdf"/> | |
49 </outputs> | |
50 | |
51 <tests> | |
52 <test> | |
53 <param name="input" value="hvis_mkar_chr22.tab"/> | |
54 <param name="chrom" value="chr22"/> | |
55 <param name="choice" value="score"/> | |
56 <param name="score_col" value="15"/> | |
57 <param name="level" value="9"/> | |
58 <param name="mode" value="absmax"/> | |
59 <output name="output" file="hvis_mkar_chr22.pdf" compare="sim_size" delta="7168"/> | |
60 </test> | |
61 </tests> | |
62 | |
63 <help> | |
64 **Dataset formats** | |
65 | |
66 The input format is interval_, and the output is an image in PDF format. | |
67 (`Dataset missing?`_) | |
68 | |
69 .. _interval: ${static_path}/formatHelp.html#interval | |
70 .. _Dataset missing?: ${static_path}/formatHelp.html | |
71 | |
72 ----- | |
73 | |
74 **What it does** | |
75 | |
76 HilbertVis uses the Hilbert space-filling curve to visualize the structure of | |
77 position-dependent data. It maps the traditional one-dimensional line | |
78 visualization onto a two-dimensional square. For example, here is a diagram | |
79 showing the path of a level-2 Hilbert curve. | |
80 | |
2 | 81 .. image:: hilbertvisDiagram.png |
0 | 82 |
83 The shade of each pixel represents the value for the corresponding bin of | |
84 consecutive genomic positions, calculated according to the specified | |
85 summarization mode. The pixels are arranged so that bins that are close | |
86 to each other on the data vector are represented by pixels that are close | |
87 to each other in the plot. In particular, adjacent bins are mapped to | |
88 adjacent pixels. Hence, dark spots in a figure represent a peak; the area | |
89 of the spot in the two-dimensional plot is proportional to the width of the | |
90 peak in the one-dimensional data, and the darkness of the spot corresponds to | |
91 the height of the peak. | |
92 | |
93 The input file is in interval format, and typically contains a column with | |
94 scores or other numbers, such as conservation scores, SNP density, the | |
95 coverage of aligned reads from ChIP-Seq data, etc. | |
96 | |
97 Website: http://www.ebi.ac.uk/huber-srv/hilbert/ | |
98 | |
99 ----- | |
100 | |
101 **Examples** | |
102 | |
103 Here are some examples from the HilbertVis homepage, using ChIP-Seq data. | |
104 | |
2 | 105 .. image:: hilbertvis1.png |
0 | 106 |
107 ----- | |
108 | |
2 | 109 .. image:: hilbertvis2.png |
0 | 110 |
111 ----- | |
112 | |
113 **Reference** | |
114 | |
115 Anders S. (2009) | |
116 Visualization of genomic data with the Hilbert curve. | |
117 Bioinformatics. 25(10):1231-5. Epub 2009 Mar 17. | |
118 | |
119 </help> | |
120 </tool> |