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Template:Novel motif: Difference between revisions

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(Undo revision 4578710 by A-Kondo (talk))
Tag: Undo
 
(23 intermediate revisions by the same user not shown)
Line 1: Line 1:
<html>
{{Loading|loadingimage=sprites.gif}}<html>
<style type="text/css" title="currentStyle">
<style type="text/css" title="currentStyle">
@import "/5/sstar/rb_js/html5button/datatables.css";
@import "/5/sstar/rb_js/html5button/datatables.css";
Line 15: Line 15:
table.details th { width:10%; background-color: #5A5FB5; color: white;}
table.details th { width:10%; background-color: #5A5FB5; color: white;}
</style>
</style>
<script type="text/javascript" src="/5/sstar/rb_js/jquery-1.7.1.min.js"></script>
<script type="text/javascript" src="/5/sstar/rb_js/html5button/datatables.js"></script>
<script type="text/javascript" src="/5/sstar/rb_js/html5button/datatables.js"></script>
<script type="text/javascript" src="/5/sstar/rb_js/custom/convert.js"></script>
<script type="text/javascript" src="/5/sstar/rb_js/custom/convert.js"></script>
Line 34: Line 33:


     $('#h_pval_table').DataTable({
     $('#h_pval_table').DataTable({
dom: 'Blfrtip',
dom: 'lfrtip',
buttons: ['copyHtml5', 'excelHtml5', 'csvHtml5', 'pdfHtml5'],
scrollY: "300px",
scrollY: "300px",
scrollCollapse: true,
scrollCollapse: true,
searching: true,
pageLength: 10,
        pageLength: 10,
lengthMenu: [[5,10,-1], [5,10,"All"]],
lengthMenu: [[5,10,-1], [5,10,"All"]],
data: h_data,
data: h_data,
        columnDefs: [
          { targets: 0, orderable: false},
          { targets: 1, width: "50pt"}
        ],
columns: [
columns: [
{ title: "FF samples", render: function(data, type, row, meta) {
{ "title": "FF samples", "orderable": false, render: function(data, type, row, meta) {
return '<a href="/5/sstar/index.php/FF:'+row[ 0 ].split('.').pop()+'">'+decodeURIComponent(row[ 0 ])+'</a>';
return '<a href="/5/sstar/index.php/FF:'+row[ 0 ].split('.').pop()+'">'+decodeURIComponent(row[ 0 ])+'</a>';
} },
} },
{ title: "p-value",  type: "numeric", render: function (data, type, row, meta) {                     
{ title: "p-value",  type: "numeric", "width": "50pt", render: function (data, type, row, meta) {                     
        var num = row[1];
        var num = row[1];
           return exp_converter(num,2,"e") ;
           return exp_converter(num,2,"e");
} }
} }
],
],
Line 69: Line 62:


$('#m_pval_table').DataTable({
$('#m_pval_table').DataTable({
dom: 'Blfrtip',
dom: 'lfrtip',
buttons: ['copyHtml5', 'excelHtml5', 'csvHtml5', 'pdfHtml5'],
scrollY: "300px",
scrollY: "300px",
scrollCollapse: true,
scrollCollapse: true,
Line 76: Line 68:
lengthMenu: [[5,10,-1], [5,10,"All"]],
lengthMenu: [[5,10,-1], [5,10,"All"]],
data: m_data,
data: m_data,
columnDefs: [
      { targets: 0, orderable: false},
      { targets: 1, width: "50pt"}
],
columns: [
columns: [
{ title: "FF samples", render: function(data, type, row, meta) {
{ title: "FF samples", "orderable": false, render: function(data, type, row, meta) {
return '<a href="/5/sstar/index.php/FF:'+row[0].split('.').pop()+'">'+decodeURIComponent(row[ 0 ])+'</a>';
return '<a href="/5/sstar/index.php/FF:'+row[0].split('.').pop()+'">'+decodeURIComponent(row[ 0 ])+'</a>';
}
}
},
},
{ title: "p-value",  type: "numeric", render: function (data, type, row, meta) {                     
{ title: "p-value", width: "50pt",  type: "numeric", render: function (data, type, row, meta) {                     
               var num =row[1];
               var num =row[1];
               return exp_converter(num,2,"e") ;
               return exp_converter(num,2,"e");
}
}
}
}
Line 96: Line 84:
// GREAT table for human start
// GREAT table for human start
$('#great_table_human').DataTable({
$('#great_table_human').DataTable({
dom: 'lfrtip',
dom:'lfrtip',
scrollY: "300px",
scrollY:"300px",
scrollCollapse: true,
scrollCollapse:true,
     pageLength: 10,
     pageLength:10,
     lengthMenu: [[5,10,-1], [5,10,"All"]],
     lengthMenu:[[5,10,-1], [5,10,"All"]],
order: [[ 2, "asc" ]],
order:[[ 2, "asc" ]],
columnDefs: [
columns:[
{ targets: 0, orderable: false },
{"orderable":false},
{ targets: 1, orderable: false },
{"orderable":false},
{ targets: 2, type: "html-number", width: "80pt" }
{type: "html-number", width: "80pt", render: function(data, type, row, meta) {
],
               var num =row[2];
columns: [
               return exp_converter(num,2,"e");
{title: ""},
{title: ""},
{title: "FF samples", render: function(data, type, row, meta) {
               var num =row[1];
               return exp_converter(num,2,"e") ;
}
}
}
}
Line 124: Line 107:
scrollY: "300px",
scrollY: "300px",
scrollCollapse: true,
scrollCollapse: true,
    pageLength: 10,
     lengthMenu: [[5,10,-1], [5,10,"All"]],
     lengthMenu: [[5,10,-1], [5,10,"All"]],
order: [[ 2, "asc" ]],
order: [[ 2, "asc" ]],
columnDefs: [
columns: [
{ targets: 0, orderable: false },
{"orderable": false},
{ targets: 1, orderable: false },
{"orderable": false},
{ targets: 2, type: "html-number", width: "80pt", render: function(data, type, row, meta) {
{type: "html-number", width: "80pt", render: function(data, type, row, meta) {
               var num =row[1];
               var num =row[2];
               return exp_converter(num,2,"e") ;
               return exp_converter(num,2,"e");
}
}
}
}

Latest revision as of 16:22, 24 September 2021

name:{{{name}}}

Association to promoter expression in human samples<b>Summary:</b>Significance of the correlation with CAGE expression, human <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data



Association to promoter expression in mouse samples <b>Summary:</b>Significance of the correlation with CAGE expression, mouse <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data



GREAT analysis results for human <b>Summary:</b>Genomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon<br><br>link to source dataset <br>data



GREAT analysis results for mouseGenomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon <br><br>link to source dataset <br>data

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