Mercurial > repos > bgruening > bismark

comparison test-data/output_html_report.html @ 13:f211753166bd draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/bismark commit b9780e368b2e46dc541a846519ccc9593226ee0d
author bgruening
date Tue, 30 Jul 2019 06:30:36 -0400
parents 9bfe38410155
children
comparison
equal deleted inserted replaced
12:78c791a11b4c 13:f211753166bd
2 <html lang="en"> 2 <html lang="en">
3 3
4 <head> 4 <head>
5 5
6 <meta http-equiv="content-type" content="text/html; charset=UTF-8"> 6 <meta http-equiv="content-type" content="text/html; charset=UTF-8">
7 <title>Bismark Processing Report - /private/var/folders/cf/k7c5rjhj1sggk6x8z1jnw4b80000gp/T/tmpDiq_J8/files/000/dataset_2.dat</title> 7 <title>Bismark Processing Report - input_1.fq.gz</title>
8 8
9 <style> 9 <style>
10 body { 10 body {
11 font-family: Arial, sans-serif; 11 font-family: Arial, sans-serif;
12 font-size:14px; 12 font-size:14px;
146 146
147 147
148 <h1>Bismark Processing Report</h1> 148 <h1>Bismark Processing Report</h1>
149 149
150 <div class="subtitle"> 150 <div class="subtitle">
151 <h3>/private/var/folders/cf/k7c5rjhj1sggk6x8z1jnw4b80000gp/T/tmpDiq_J8/files/000/dataset_2.dat</h3> 151 <h3>input_1.fq.gz</h3>
152 <p>Data processed at 14:27 on 2018-08-21</p> 152 <p>Data processed at 10:50 on 2019-07-30</p>
153 </div> 153 </div>
154 154
155 </div> 155 </div>
156 156
157 <hr id="header_hr"> 157 <hr id="header_hr">
921 x: 0.85, 921 x: 0.85,
922 y: 1.2 922 y: 1.2
923 }, 923 },
924 }; 924 };
925 925
926 Plotly.newPlot('mbias1_plot', data, layout,{displaylogo: false}, {modeBarButtonsToRemove: ['toImage', 926 var options = {
927 'sendDataToCloud', 927 displaylogo: false,
928 'resetScale2d', 928 modeBarButtonsToRemove:
929 'hoverClosestCartesian', 929 ['zoom2d',
930 'hoverCompareCartesian', 930 'sendDataToCloud',
931 'toggleZoom', 931 'pan',
932 'toggleSpikelines']}); 932 'pan2d',
933 'resetScale2d',
934 'hoverClosestCartesian',
935 'hoverCompareCartesian',
936 'toggleSpikelines']
937 ,
938 toImageButtonOptions: {
939 filename: 'Bismark M-bias Read 1',
940 width: 1600,
941 height: 600,
942 format: 'png'
943 }
944 };
945
946 Plotly.newPlot('mbias1_plot', data, layout, options);
933 </script> 947 </script>
934 948
935 <!-- M-bias Plot 2--> 949 <!-- M-bias Plot 2-->
936 <script> 950 <script>
937 var trace1 = { 951 var trace1 = {
1043 size: 18, 1057 size: 18,
1044 color: 'black' 1058 color: 'black'
1045 }, 1059 },
1046 }, 1060 },
1047 xaxis: { 1061 xaxis: {
1048 title: 'Position in read [bp]', 1062 title: 'Position in Read [bp]',
1049 showline: true, 1063 showline: true,
1050 titlefont: { 1064 titlefont: {
1051 size: 18, 1065 size: 18,
1052 color: 'black' 1066 color: 'black'
1053 }, 1067 },
1057 x: 0.85, 1071 x: 0.85,
1058 y: 1.2, 1072 y: 1.2,
1059 }, 1073 },
1060 }; 1074 };
1061 1075
1062 Plotly.newPlot('mbias2_plot', data, layout, {displaylogo: false}, {modeBarButtonsToRemove: ['toImage', 1076
1063 'sendDataToCloud', 1077 var options2 = {
1064 'resetScale2d', 1078 displaylogo: false,
1065 'hoverClosestCartesian', 1079 modeBarButtonsToRemove:
1066 'hoverCompareCartesian', 1080 ['zoom2d',
1067 'toggleZoom', 1081 'sendDataToCloud',
1068 'toggleSpikelines']}); 1082 'pan',
1083 'pan2d',
1084 'resetScale2d',
1085 'hoverClosestCartesian',
1086 'hoverCompareCartesian',
1087 'toggleSpikelines']
1088 ,
1089 toImageButtonOptions: {
1090 filename: 'Bismark M-bias Read 2',
1091 width: 1600,
1092 height: 600,
1093 format: 'png'
1094 }
1095 };
1096
1097 Plotly.newPlot('mbias2_plot', data, layout, options2);
1069 1098
1070 </script> 1099 </script>
1071 1100
1072 <footer> 1101 <footer>
1073 <a style="float:right;" href="https://www.bioinformatics.babraham.ac.uk/"> 1102 <a style="float:right;" href="https://www.bioinformatics.babraham.ac.uk/">
1074 <img alt="Babraham Bioinformatics" 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" /> 1103 <img alt="Babraham Bioinformatics" 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" />
1075 1104
1076 </a> 1105 </a>
1077 1106
1078 <p>Analysis produced by <a href="https://github.com/FelixKrueger/Bismark"><strong>Bismark</strong></a> (version v0.19.1) - a tool to map bisulfite converted sequence reads and determine cytosine methylation states</p> 1107 <p>Analysis produced by <a href="https://github.com/FelixKrueger/Bismark"><strong>Bismark</strong></a> (version v0.22.1) - a tool to map bisulfite converted sequence reads and determine cytosine methylation states</p>
1079 <p>Report graphs rendered using <a href="https://plot.ly/">plot.ly</a>, design last changed 07 Aug 2018</p> 1108 <p>Report graphs rendered using <a href="https://plot.ly/">plot.ly</a>, design last changed 07 Aug 2018</p>
1080 </footer> 1109 </footer>
1081 1110
1082 </div> 1111 </div>
1083 </html> 1112 </html>