diff options
Diffstat (limited to 'web')
| -rwxr-xr-x[-rw-r--r--] | web/javascript/jqueryFunction.js | 2041 | ||||
| -rwxr-xr-x | web/webqtl/correlation/CorrelationPage.py | 1118 | ||||
| -rwxr-xr-x[-rw-r--r--] | web/webqtl/showTrait/DataEditingPage.py | 35 |
3 files changed, 1648 insertions, 1546 deletions
diff --git a/web/javascript/jqueryFunction.js b/web/javascript/jqueryFunction.js index 5e6641cd..e612098b 100644..100755 --- a/web/javascript/jqueryFunction.js +++ b/web/javascript/jqueryFunction.js @@ -1,80 +1,75 @@ /* jquery part */ - /* used by index (base/indexBody.py) */ - -$(document).ready(function(){ +$(document).ready(function () { options_visible = 0; //Whether advanced options are being shown - $('tr .advanced_option').hide(); - $('.toggle_advanced').click(function(){ + $('.toggle_advanced').click(function () { $('tr .advanced_option').toggle(); - - if (options_visible = 0) { - $('.full_search_td').css('display','none;'); - $('.search_td').css('display','inline'); - options_visible = 1; - } - else { - if ($('#type_menu.type_menu').val() = 'Hippocampus'){ - $('.search_td').css('display','none;'); - $('.full_search_td').css('display','inline'); - } - options_visible = 0; - } + + if (options_visible = 0) { + $('.full_search_td').css('display', 'none;'); + $('.search_td').css('display', 'inline'); + options_visible = 1; + } else { + if ($('#type_menu.type_menu').val() = 'Hippocampus') { + $('.search_td').css('display', 'none;'); + $('.full_search_td').css('display', 'inline'); + } + options_visible = 0; + } }); - $('#full_search').click(function(){ + $('#full_search').click(function () { gene_symbol = $('input[name=keyword]').val(); scriptable_interface_url = 'http://alexandria.uthsc.edu:89/webqtl/main.py?cmd=sch&gene=' + gene_symbol; - window.open(scriptable_interface_url,'_self'); + window.open(scriptable_interface_url, '_self'); }); }); -$('select.type_menu').live('change', function() { +$('select.type_menu').live('change', function () { var trait_type = $('select.type_menu option:selected').val(); - $('#tissue').val(trait_type); - $('#tissue').trigger('change'); + $('#tissue').val(trait_type); + $('#tissue').trigger('change'); }); /* used by CorrelationPage.py, AddToSelectionPage.py, and SearchResultPage.py */ -$(document).ready(function(){ - $('img[name=addselect], img[name=networkgraph], img[name=corrmatrix], img[name=partialCorr], img[name=comparecorr], img[name=mintmap], img[name=heatmap]').click(function(){ - if ($('input[name=searchResult]:checked').length < 1){ - for (i=0; i<10; i++){ - $('input[name=searchResult]:eq('+i+')').attr('checked',true); +$(document).ready(function () { + $('img[name=addselect], img[name=networkgraph], img[name=corrmatrix], img[name=partialCorr], img[name=comparecorr], img[name=mintmap], img[name=heatmap]').click(function () { + if ($('input[name=searchResult]:checked').length < 1) { + for (i = 0; i < 10; i++) { + $('input[name=searchResult]:eq(' + i + ')').attr('checked', true); } } }); - $('img[name=addselect]').click(function(){ - addRmvSelection($('input[name=RISet]').val(), document.getElementsByName('showDatabase'+ $('input[name=RISet]').val())[0], 'addToSelection'); + $('img[name=addselect]').click(function () { + addRmvSelection($('input[name=RISet]').val(), document.getElementsByName('showDatabase' + $('input[name=RISet]').val())[0], 'addToSelection'); }); - $('.toggleShowHide').click(function(){ + $('.toggleShowHide').click(function () { var className = '.extra_options'; - if ($(className).css('display') == 'none'){ - var less = 'less'; - $('input[name=showHideOptions]').val(less); + if ($(className).css('display') == 'none') { + var less = 'less'; + $('input[name=showHideOptions]').val(less); $(className).show(); $('input[name=options]').val('Fewer Options'); var display = $('input[name=options]').css('display') - $(display).val('block'); - } - else { - var more = 'more'; - $('input[name=showHideOptions]').val(more); - $(className).hide(); - $('input[name=options]').val('More Options'); - var display = $('input[name=showHideOptions]').css('display') - $(display).val('block'); + $(display).val('block'); + } else { + var more = 'more'; + $('input[name=showHideOptions]').val(more); + $(className).hide(); + $('input[name=options]').val('More Options'); + var display = $('input[name=showHideOptions]').css('display') + $(display).val('block'); } }); }); @@ -83,82 +78,91 @@ $(document).ready(function(){ used by AddToSelectionPage.py */ function validateTraitNumber() { - var checkBoxes = $('.checkallbox'); - if (checkBoxes.filter(":checked").length < 2) { - alert("Please select at least two traits."); - return false; - } - else { - return true; - } + var checkBoxes = $('.checkallbox'); + if (checkBoxes.filter(":checked").length < 2) { + alert("Please select at least two traits."); + return false; + } else { + return true; + } } /* used by TextSearchPage.py */ -$(document).ready(function(){ - - $('.add_traits').click(function(){ - $('input[name=searchResult]').each(function(){ - if ($(this).is(':checked')){ - groupName = $(this).parents().next().next().children('[href]').text(); - addORrmv = 'addToSelection'; - thisForm = $('form[name=showDatabase]'); - addRmvSelection_allGroups(groupName, thisForm, addORrmv); - } - }); - }); - - function addRmvSelection_allGroups(groupName, thisForm, addORrmv){ - thisForm.attr('target',groupName); - thisForm.children('input[name=FormID]:hidden').val(addORrmv); - thisForm.children('input[name=RISet]:hidden').val(groupName); - var newWindow = open("",thisForm.attr('target'),"menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=1,directories=1,width=900"); - thisForm.submit(); - } - - $('.tab_content').hide(); //Hide all tab content - $('div.tab_container').each(function(){ - $(this).parent('td').find('div.tab_container:first').find('div.tab_content:first').show(); - }); - $('ul.tabs').each(function(){ - $(this).find('li:first').addClass('active'); - }); - $('ul.tabs:first').find('li:first').show(); - $('.tab_container:first').find('.tab_content:first').show(); - - //On Click Event - $('ul.tabs li').click(function() { - $('ul.tabs').find('li').removeClass('last_viewed'); - if($(this).parent('ul.tabs').next('div.tab_container').attr('id').indexOf('stats') != 1){ - $(this).addClass('last_viewed'); - } - $(this).parent('ul.tabs').find('li').removeClass('active'); - $(this).addClass('active'); - $(this).parent('ul.tabs').next('div.tab_container').find('.tab_content').hide(); - var activeTab = $(this).find('a').attr('href'); - if ($.browser.msie) - {$(activeTab).show();} - else - {$(activeTab).fadeIn();} //Fade in the active ID content - - return false; - }); +$(document).ready(function () { + + $('.add_traits').click(function () { + $('input[name=searchResult]').each(function () { + if ($(this).is(':checked')) { + groupName = $(this).parents().next().next().children('[href]').text(); + addORrmv = 'addToSelection'; + thisForm = $('form[name=showDatabase]'); + addRmvSelection_allGroups(groupName, thisForm, addORrmv); + } + }); + }); + + function addRmvSelection_allGroups(groupName, thisForm, addORrmv) { + thisForm.attr('target', groupName); + thisForm.children('input[name=FormID]:hidden').val(addORrmv); + thisForm.children('input[name=RISet]:hidden').val(groupName); + var newWindow = open("", thisForm.attr('target'), "menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=1,directories=1,width=900"); + thisForm.submit(); + } + + $('.tab_content').hide(); //Hide all tab content + $('div.tab_container').each(function () { + $(this).parent('td').find('div.tab_container:first').find('div.tab_content:first').show(); + }); + $('ul.tabs').each(function () { + $(this).find('li:first').addClass('active'); + }); + $('ul.tabs:first').find('li:first').show(); + $('.tab_container:first').find('.tab_content:first').show(); + + //On Click Event + $('ul.tabs li').click(function () { + $('ul.tabs').find('li').removeClass('last_viewed'); + if ($(this).parent('ul.tabs').next('div.tab_container').attr('id').indexOf('stats') != 1) { + $(this).addClass('last_viewed'); + } + $(this).parent('ul.tabs').find('li').removeClass('active'); + $(this).addClass('active'); + $(this).parent('ul.tabs').next('div.tab_container').find('.tab_content').hide(); + var activeTab = $(this).find('a').attr('href'); + if ($.browser.msie) { + $(activeTab).show(); + } else { + $(activeTab).fadeIn(); + } //Fade in the active ID content + return false; + }); }); /* used by DataEditingPage.py */ -$(document).ready(function() { +$(document).ready(function () { + + // ZS: This checks the number of columns in order to determine which column to not sort; in this case the plus-minus symbol shouldn't be sortable + $('#sortable1,#sortable2').find('th').each(function () { + if ($(this).text() == 'SE') { + $.tablesorter.defaults.headers = { + 3: { + sorter: false + } + }; + return false; + } + }); + + if ($('#sortable1,#sortable2').find('.outlier').size() > 0) { + $('input[name=sample_method]:eq(1)').attr('checked','checked'); + $('input[name=tissue_method]:eq(1)').attr('checked','checked'); + } - // ZS: This checks the number of columns in order to determine which column to not sort; in this case the plus-minus symbol shouldn't be sortable - $('#sortable1,#sortable2').find('th').each(function() { - if ($(this).text() == 'SE'){ - $.tablesorter.defaults.headers = { 3: {sorter: false} }; - return false; - } - }); /* ZS: This segment is called by tablesorter.js; it determines where to get the text used when sorting, based on the type of cell. @@ -167,949 +171,922 @@ $(document).ready(function() { This segment is repeated twice. Ideally this wouldn't be the case, but I can't find a way to reuse the inner textExtraction function. */ - //ZS: Defining these here, so they don't need to be searched for in the DOM for every single node - primaryTable = $("#sortable1"); - otherTable = $("#sortable2"); - - primaryValueHeader = primaryTable.find('th:contains("Value"):eq(0)'); - primarySEHeader = primaryTable.find('th:contains("SE"):eq(0)'); - otherValueHeader = otherTable.find('th:contains("Value"):eq(1)'); - otherSEHeader = otherTable.find('th:contains("SE"):eq(1)'); - - $("#sortable1").tablesorter({ - textExtraction: function(node) { - if ((node.children[0] == "[object HTMLInputElement]" && node.children[0].type == "text") || (/\S/.test(node.id))) { - cellId = node.id; - thisCell = $('#'+cellId).children(':eq(0)') - valueClassNames = thisCell.attr('class').split(/\s+/); - capitalized_column_name = cellId.split('_')[0].charAt(0).toUpperCase() + cellId.split('_')[0].slice(1); - value = valueClassNames[valueClassNames.length - 1]; - newValue = thisCell.val(); - - if (newValue == 'x' || value == '9999' || value == '-9999') { - valueType = cellId.split('_')[0]; - if (valueType == 'value'){ - header = primaryValueHeader; - } else { - header = primarySEHeader; - } - - if (header.hasClass('headerSortUp')){ - sort_order = 'desc'; - } else if (header.hasClass('headerSortDown')){ - sort_order = 'asc'; - } else { - sort_order = 'desc'; - } - - if (sort_order == 'desc') { - value = 9999; - thisCell.removeClass(value).addClass('9999'); - } else if (sort_order == 'asc'){ - value = -9999; - thisCell.removeClass(value).addClass('-9999'); - } else { - value = 9999; - thisCell.removeClass(value).addClass('9999'); - } - } - - text = value; - } - - else { - if (node.textContent) { - text = node.textContent; - } else { - if (node.childNodes[0] && node.childNodes[0].hasChildNodes()) { - text = node.childNodes[0].innerHTML; - } else { - text = node.innerText; - } - } - } - return text - } - }); - - $("#sortable2").tablesorter({ - textExtraction: function(node) { - if ((node.children[0] == "[object HTMLInputElement]" && node.children[0].type == "text") || (/\S/.test(node.id))) { - cellId = node.id; - thisCell = $('#'+cellId).children(':eq(0)') - valueClassNames = thisCell.attr('class').split(/\s+/); - capitalized_column_name = cellId.split('_')[0].charAt(0).toUpperCase() + cellId.split('_')[0].slice(1); - value = valueClassNames[valueClassNames.length - 1]; - newValue = thisCell.val(); - - if (newValue == 'x' || value == '9999' || value == '-9999') { - valueType = cellId.split('_')[0]; - if (valueType == 'value'){ - header = otherValueHeader; - } else { - header = otherSEHeader; - } - - if (header.hasClass('headerSortUp')){ - sort_order = 'desc'; - } else if (header.hasClass('headerSortDown')){ - sort_order = 'asc'; - } else { - sort_order = 'desc'; - } - - if (sort_order == 'desc') { - value = 9999; - thisCell.removeClass(value).addClass('9999'); - } else if (sort_order == 'asc'){ - value = -9999; - thisCell.removeClass(value).addClass('-9999'); - } else { - value = 9999; - thisCell.removeClass(value).addClass('9999'); - } - } - - text = value; - } - - else { - if (node.textContent) { - text = node.textContent; - } else { - if (node.childNodes[0] && node.childNodes[0].hasChildNodes()) { - text = node.childNodes[0].innerHTML; - } else { - text = node.innerText; - } - } - } - return text - } - }); + //ZS: Defining these here, so they don't need to be searched for in the DOM for every single node + primaryTable = $("#sortable1"); + otherTable = $("#sortable2"); + + primaryValueHeader = primaryTable.find('th:contains("Value"):eq(0)'); + primarySEHeader = primaryTable.find('th:contains("SE"):eq(0)'); + otherValueHeader = otherTable.find('th:contains("Value"):eq(1)'); + otherSEHeader = otherTable.find('th:contains("SE"):eq(1)'); + + $("#sortable1").tablesorter({ + textExtraction: function (node) { + if ((node.children[0] == "[object HTMLInputElement]" && node.children[0].type == "text") || (/\S/.test(node.id))) { + cellId = node.id; + thisCell = $('#' + cellId).children(':eq(0)') + valueClassNames = thisCell.attr('class').split(/\s+/); + capitalized_column_name = cellId.split('_')[0].charAt(0).toUpperCase() + cellId.split('_')[0].slice(1); + value = valueClassNames[valueClassNames.length - 1]; + newValue = thisCell.val(); + + if (newValue == 'x' || value == '9999' || value == '-9999') { + valueType = cellId.split('_')[0]; + if (valueType == 'value') { + header = primaryValueHeader; + } else { + header = primarySEHeader; + } + + if (header.hasClass('headerSortUp')) { + sort_order = 'desc'; + } else if (header.hasClass('headerSortDown')) { + sort_order = 'asc'; + } else { + sort_order = 'desc'; + } + + if (sort_order == 'desc') { + value = 9999; + thisCell.removeClass(value).addClass('9999'); + } else if (sort_order == 'asc') { + value = -9999; + thisCell.removeClass(value).addClass('-9999'); + } else { + value = 9999; + thisCell.removeClass(value).addClass('9999'); + } + } -/* + text = value; + } else { + if (node.textContent) { + text = node.textContent; + } else { + if (node.childNodes[0] && node.childNodes[0].hasChildNodes()) { + text = node.childNodes[0].innerHTML; + } else { + text = node.innerText; + } + } + } + return text + } + }); + + $("#sortable2").tablesorter({ + textExtraction: function (node) { + if ((node.children[0] == "[object HTMLInputElement]" && node.children[0].type == "text") || (/\S/.test(node.id))) { + cellId = node.id; + thisCell = $('#' + cellId).children(':eq(0)') + valueClassNames = thisCell.attr('class').split(/\s+/); + capitalized_column_name = cellId.split('_')[0].charAt(0).toUpperCase() + cellId.split('_')[0].slice(1); + value = valueClassNames[valueClassNames.length - 1]; + newValue = thisCell.val(); + + if (newValue == 'x' || value == '9999' || value == '-9999') { + valueType = cellId.split('_')[0]; + if (valueType == 'value') { + header = otherValueHeader; + } else { + header = otherSEHeader; + } + + if (header.hasClass('headerSortUp')) { + sort_order = 'desc'; + } else if (header.hasClass('headerSortDown')) { + sort_order = 'asc'; + } else { + sort_order = 'desc'; + } + + if (sort_order == 'desc') { + value = 9999; + thisCell.removeClass(value).addClass('9999'); + } else if (sort_order == 'asc') { + value = -9999; + thisCell.removeClass(value).addClass('-9999'); + } else { + value = 9999; + thisCell.removeClass(value).addClass('9999'); + } + } + + text = value; + } else { + if (node.textContent) { + text = node.textContent; + } else { + if (node.childNodes[0] && node.childNodes[0].hasChildNodes()) { + text = node.childNodes[0].innerHTML; + } else { + text = node.innerText; + } + } + } + return text + } + }); + + /* ZS: When the user changes the value in the text field, the new value is added as a class. This is because $('input[type=text]').val() gets the value attribute, which is always the default value, instead of the value property (which can be changed) */ - var thisTable = $('#sortable1,#sortable2'); - - thisTable.bind("update propertychange keyup input paste", function(e){ - - var target = e.target; - $target = $(target); - - if (target.nodeName.toLowerCase() == 'input'){ - thisClassNames = $target.attr('class').split(/\s+/); - valueClass = thisClassNames[thisClassNames.length - 1]; - newValue = $target.val(); - thisParent = $target.parent('td'); - thisParentId = thisParent.attr('id'); - - $target.removeClass(valueClass); - - if (newValue == 'x'){ - thisParent.parent('tr').addClass('blocked'); - } else { - $('#'+thisParentId).children('input.valueField:eq(0)').addClass(newValue); - } - } - }); - - //////////////////////////////////// - // Initially close tabs - //////////////////////////////////// - - thisForm = $('form[name="dataInput"]'); - - $('#sectionbody2').hide(); - $('#sectionbody3').hide(); - $('#sectionbody4').hide(); - - $('#title1').click(function() { - $('#sectionbody1').toggle(); - return false; - }); - $('#title2').click(function() { - $('#sectionbody2').toggle(); - return false; - }); - $('#title3').click(function() { - $('#sectionbody3').toggle(); - return false; - }); - $('#title4').click(function() { - $('#sectionbody4').toggle(); - return false; - }); - $('#title5').click(function() { - $('#sectionbody5').toggle(); - return false; - }); - - - - ////////////////////////////////////////////////////////////// - // Switch out + and - icon when you click each section header - ////////////////////////////////////////////////////////////// - - var expand_html = "<span class=\"expand_container\"> <IMG src=\"/images/Expand.gif\" alt=\"Expand\"></span>"; - var contract_html = "<span class=\"contract_container\"> <IMG src=\"/images/Contract.gif\" alt=\"Contract\"></span>"; - - $('#title2, #title3, #title4').prepend(expand_html).addClass('1'); - - $('#title1, #title5').prepend(contract_html).addClass('0'); - - for(i=1;i<=5;i++){ - $('#title'+i).click(function(){ - if ($(this).hasClass('0')) { - $(this).find('span').replaceWith(expand_html); - $(this).removeClass('0'); - $(this).addClass('1'); - } - else { - $(this).find('span').replaceWith(contract_html); - $(this).removeClass('1'); - $(this).addClass('0'); - } - }); - } - - // Exclude cases by attributes - - $('div.attribute_values:first').css('display', 'inline'); //Display the dropdown menu with the first attribute's distinct values - - $('select[name=exclude_menu]').change(function(){ - $('div.attribute_values').css('display', 'none'); //clear all other menus when a new attribute is selected - attribute = $(this).val(); - //attribute = $('select[name=exclude_menu]').val(); - menu = $('div.attribute_values').find('[name=\''+attribute+'\']'); - menu.parent().css('display', 'inline'); - }); - - primary_row_count = $('#primary').find('tr').length - 1; - other_row_count = $('#other').find('tr').length - 1; - - if (primary_row_count >= other_row_count) { - row_count = primary_row_count; - } - else { - row_count = other_row_count; - } - - $('div.attribute_values').children('select').change(function(){ - exclude_value = $(this).val(); - }); -}); - -$(window).load(function(){ - - //ZS: These are needed in a few places; looping through rows by index is faster than doing a "find" search - numPrimaryRows = $('#sortable1').find('tr').length; - numOtherRows = $('#sortable2').find('tr').length; - - -/////////////////////////////// -//Basic Statistics -/////////////////////////////// - - ///////////////////////////////////////////////////////////////// - // Hide unselected Basic Statistics tabs (when just BXD strains - // are selected, hide the results for all strains/non-BXD) - ///////////////////////////////////////////////////////////////// - - $('#stats_tabs1').hide(); - $('#stats_tabs2').hide(); - - $('#sectionbody2').find('select[name=stats_mdp]').change(function(){ - selected = $('#sectionbody2').find('select[name=stats_mdp] option:selected').val(); - for (i=0;i<=2;i++){ - $('#stats_tabs'+i).hide(); - } - $('#stats_tabs'+selected).show(); - }); - - //////////////////////////////////////////////////////////////////////// - // Select the same tab across each sample group (when a Box Plot is - // selected for BXD, switching to Non-BXD will also display a Box Plot) - ////////////./////////////////////////////////////////////////////////// - - var $tabs1 = $('#stats_tabs0').tabs(); - var $tabs2 = $('#stats_tabs1').tabs(); - var $tabs3 = $('#stats_tabs2').tabs(); - - $tabs1.tabs({ - show: function(event, ui) { - var selected = $tabs1.tabs('option','selected'); - $tabs2.tabs('select',selected); - $tabs3.tabs('select',selected); - } - }); - $tabs2.tabs({ - show: function(event, ui) { - var selected = $tabs2.tabs('option','selected'); - $tabs1.tabs('select',selected); - $tabs3.tabs('select',selected); - } - }); - $tabs3.tabs({ - show: function(event, ui) { - var selected = $tabs3.tabs('option','selected'); - $tabs1.tabs('select',selected); - $tabs2.tabs('select',selected); - } - }); - - -/////////////////////////////// -//Calculate Correlations -/////////////////////////////// - - $('#sectionbody3').find('input[name="sample_corr"]').click(function() { - dbValue = $('select[name=database1] option:selected').val(); - $('input[name=database]').val(dbValue); - criteriaValue = $('select[name=criteria1] option:selected').val(); - $('input[name=criteria]').val(criteriaValue); - MDPValue = $('select[name=MDPChoice1] option:selected').val(); - $('input[name=MDPChoice]').val(MDPValue); - - methodValue = $('input[name=sample_method]:checked').val(); - - //This simple method can be used now that 'method' is defaulted to None instead of '' - if (methodValue == "1"){ - $('input[name=method]').val('1'); - } - else{ - $('input[name=method]').val('2'); - } - - dataEditingFunc(this.form,'correlation'); - }); - - $('#sectionbody3').find('input[name="lit_corr"]').click(function() { - dbValue = $('select[name=database2] option:selected').val(); - $('input[name=database]').val(dbValue); - criteriaValue = $('select[name=criteria2] option:selected').val(); - $('input[name=criteria]').val(criteriaValue); - MDPValue = $('select[name=MDPChoice2] option:selected').val(); - $('input[name=MDPChoice]').val(MDPValue); - - $('input[name=method]').val('3'); - - dataEditingFunc(this.form,'correlation'); - }); - - $('#sectionbody3').find('input[name="tiss_corr"]').click(function() { - dbValue = $('select[name=database3] option:selected').val(); - $('input[name=database]').val(dbValue); - criteriaValue = $('select[name=criteria3] option:selected').val(); - $('input[name=criteria]').val(criteriaValue); - MDPValue = $('select[name=MDPChoice3] option:selected').val(); - $('input[name=MDPChoice]').val(MDPValue); - - methodValue = $('input[name=tissue_method]:checked').val(); - - if (methodValue == "4"){ - $('input[name=method]').val('4'); - } - else{ - $('input[name=method]').val('5'); - } - dataEditingFunc(this.form,'correlation'); - }); - -/////////////////////////////// -//Mapping Tools -/////////////////////////////// - - $('#sectionbody4').find('input[name=interval]').click(function() { - chrValue = $('select[name=chromosomes1] option:selected').val(); - $('input[name=chromosomes]').val(chrValue); - scaleValue = $('select[name=scale1] option:selected').val(); - $('input[name=scale]').val(scaleValue); - $('input[name=controlLocus]').val(''); - - //Changed the way permValue, bootValue, and parentsValue are acquired; before it was $(____).is(':checked'); - permValue = $('input[name=permCheck1]:checked').val(); - $('input[name=permCheck]').val(permValue); - - bootValue = $('input[name=bootCheck1]:checked').val(); - $('input[name=bootCheck]').val(bootValue); - - if ($('input[name=parentsf14regression1]:checked').length > 0){ - $('input[name=parentsf14regression]').val('on'); - } else { - $('input[name=parentsf14regression]').val('off'); - } - - varValue = $('input[name=applyVarianceSE1]:checked').val(); - $('input[name=applyVarianceSE]').val(varValue); - - dataEditingFunc(this.form,'intervalMap'); - }); - - var tiptext = "e.g., rs12345"; - controlLocus = $('#sectionbody4').find('input[name=controlLocus]'); - - if(controlLocus.val() == '' || controlLocus == tiptext) { - controlLocus.addClass('searchtip').val(tiptext); - } - - controlLocus.focus(function(e) { - if(controlLocus.val() == tiptext) { - controlLocus.val(''); - } - controlLocus.removeClass('searchtip'); - }); - - controlLocus.blur(function(e) { - if(controlLocus.val() == '') { - controlLocus.addClass('searchtip').val(tiptext); - } else if(controlLocus.val() == tiptext) { - controlLocus.addClass('searchtip'); - } else { - controlLocus.removeClass('searchtip'); - } - }); - - $('#sectionbody4').find('input[name=composite]').click(function() { - chrValue = $('select[name=chromosomes2] option:selected').val(); - $('input[name=chromosomes]').val(chrValue); - scaleValue = $('select[name=scale2] option:selected').val(); - $('input[name=scale]').val(scaleValue); - controlValue = controlLocus.val(); - if (controlValue != tiptext){ - controlLocus.val(controlValue); - } - else{ - controlLocus.val(''); - } - - //Changed the way permValue, bootValue, and parentsValue are acquired; before it was $(____).is(':checked'); - permValue = $('input[name=permCheck2]:checked').val(); - $('input[name=permCheck]').val(permValue); - - bootValue = $('input[name=bootCheck2]:checked').val(); - $('input[name=bootCheck]').val(bootValue); - - if ($('input[name=parentsf14regression3]:checked').length > 0){ - $('input[name=parentsf14regression]').val('on'); - } else { - $('input[name=parentsf14regression]').val('off'); - } - - dataEditingFunc(this.form,'intervalMap'); - - }); - - $('#sectionbody4').find('input[name=marker]').click(function() { - //Changed the way parentsValue is acquired; before it was $(____).is(':checked'); - if ($('input[name=parentsf14regression2]:checked').length > 0){ - $('input[name=parentsf14regression]').val('on'); - } else { - $('input[name=parentsf14regression]').val('off'); - } - - varValue = $('input[name=applyVarianceSE2]:checked').val(); - $('input[name=applyVarianceSE]').val(varValue); - - dataEditingFunc(this.form,'markerRegression'); - }); - -/////////////////////////////// -//Review and Edit Data -/////////////////////////////// - - $('input[name=excludeGroup]').click(function(){ - for (i = 1;i <= Math.max(primary_row_count,other_row_count)-1; i++){ - valueExists = 0; - $('#Primary_'+i+',#Other_'+i).children().each(function(){ - if ($(this).text() == exclude_value) { - $('#Primary_'+i+',#Other_'+i).addClass('blocked').find('input[type=text]').val('x'); - valueExists = 1; - return false; - } - }); - } - }); - - $('.update').click(function(){ - windowName = 'formTarget' + (new Date().getTime()); - newWindow = open("",windowName,"menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=0,directories=1,width=900"); - document.dataInput.target = windowName; - document.dataInput.submitID.value = "basicStatistics"; - - primaryData = getTraitData()[0]; - otherData = getTraitData()[1]; - allData = getTraitData()[2]; - - if (otherData[0].length > 0) { - if ($('select[name="stats_mdp"] option:selected').val() == 0) { - document.dataInput.strainNames.value = allData[0].toString(); - document.dataInput.strainVals.value = allData[1].toString(); - document.dataInput.strainVars.value = allData[2].toString(); - } - else if ($('select[name="stats_mdp"] option:selected').val() == 1) { - document.dataInput.strainNames.value = primaryData[0].toString(); - document.dataInput.strainVals.value = primaryData[1].toString(); - document.dataInput.strainVars.value = primaryData[2].toString(); - } - else { - document.dataInput.strainNames.value = otherData[0].toString(); - document.dataInput.strainVals.value = otherData[1].toString(); - document.dataInput.strainVars.value = otherData[2].toString(); - } - } - else { - document.dataInput.strainNames.value = allData[0].toString(); - document.dataInput.strainVals.value = allData[1].toString(); - document.dataInput.strainVars.value = allData[2].toString(); - } - - document.dataInput.submit(); - }); - - $('input[name="export"]').click(function(){ - windowName = 'formTarget' + (new Date().getTime()); - newWindow = open("",windowName,"menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=0,directories=1,width=900"); - document.dataInput.target = windowName; - document.dataInput.submitID.value = "exportData"; - - primaryData = getTraitData()[0]; - otherData = getTraitData()[1]; - - document.dataInput.strainNames.value = primaryData[0].toString(); - document.dataInput.strainVals.value = primaryData[1].toString(); - document.dataInput.strainVars.value = primaryData[2].toString(); - - document.dataInput.otherStrainNames.value = otherData[0].toString(); - document.dataInput.otherStrainVals.value = otherData[1].toString(); - document.dataInput.otherStrainVars.value = otherData[2].toString(); - - attribute_names = new Array(); - $('#primary,#other').find('th.attribute_name').each(function(){ - attribute_names.push($(this).val().toString()); - }); - - primary_attribute_values = ""; //This string will be structured as a dictionary with a set of values for each attribute; it will be parsed in the ExportPage class - other_attribute_values = ""; - - attr_counter = 1; // Counter for each different attribute - row_counter = 1; // Counter for each value for each attribute - while (attr_counter <= attribute_names.length){ - attribute_name = $('#primary,#other').find('th.attribute_name:eq('+ (attr_counter-1).toString() + ')').text(); - primary_row_count = $('#primary').find('tr').length - 1; - other_row_count = $('#other').find('tr').length - 1; - - primary_attribute_values += attribute_name + " : "; - other_attribute_values += attribute_name + " : "; - - primary_value_string = ""; //This string of values (in the format 'a,b,c', etc) will be appended to the primary_attribute_values string - for (row_counter = 1;row_counter <= numPrimaryRows; row_counter++){ - value = $('#primary_attribute'+attr_counter.toString()+'_sample'+row_counter.toString()).text(); - if (row_counter == primary_row_count) { - primary_value_string += (value + " / "); - } - else{ - primary_value_string += (value + ","); - } - } - - primary_attribute_values += primary_value_string; - - other_value_string = ""; //This string of values (in the format 'a,b,c', etc) will be appended to the other_attribute_values string - for (row_counter = 1;row_counter <= numOtherRows; row_counter++){ - value = $('#other_attribute'+attr_counter.toString()+'_sample'+row_counter.toString()).text(); - if (row_counter == other_row_count) { - other_value_string += (value + " / "); - } - else{ - other_value_string += (value + ","); - } - } - other_attribute_values += other_value_string; - attr_counter += 1 - } - - document.dataInput.extra_attributes.value = primary_attribute_values; - document.dataInput.other_extra_attributes.value = other_attribute_values; - - document.dataInput.submit(); - }); - - var thisTable = $('#sortable1,#sortable2'); //ZS: variable representing each table, because it's used often - - thisTable.find('input[name="selectCheck"]').click(function(){ - if($(this).is(':checked')){ - $(this).parent("").parent("").children("td").css("background-color", "yellow"); - } - else{ - if(!($(this).parent().parent().hasClass('outlier'))){ - $(this).parent().parent().children("td").css("background-color", "white"); - } - } - }); - - $('input[name=resetButton]').click(function(){ - - //ZS: Reset "hide no value" and "hide outliers" - $('#showHideOptions').find('input[name=showHideNoValue]').val(' Hide No Value '); - $('#showHideOptions').find('input[name=showHideOutliers]').val(' Hide Outliers '); - noValShown = 1; - outliersShown = 1; - - for (i=1;i<=numPrimaryRows-1;i++){ - var thisRow = $('#Primary_'+i); - if (thisRow.is('.invisible')){ - thisRow.removeClass('invisible'); - } - if (thisRow.is('.blocked')){ - thisRow.removeClass('blocked'); - } - if (thisRow.is(':not(.outlier)')){ - thisRow.css("background-color", "white"); - } - - var thisValueField = thisRow.find('.valueField'); - - var originalValue = thisValueField[0].defaultValue; - var thisClassNames = thisRow.find('input:eq(1)').attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - thisRow.find('input:eq(1)').removeClass(valueClass).addClass(originalValue).val(originalValue); - - if (thisValueField.length > 1){ - var originalValue = thisValueField[1].defaultValue; - var thisClassNames = thisRow.find('input:eq(2)').attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - thisRow.find('input:eq(2)').removeClass(valueClass).addClass(originalValue).val(originalValue); - } - } - for (i=1;i<=numOtherRows-1;i++){ - var thisRow = $('#Other_'+i); - if (thisRow.is('.invisible')){ - thisRow.removeClass('invisible') - } - if (thisRow.is('.blocked')){ - thisRow.removeClass('blocked'); - } - if (thisRow.is(':not(.outlier)')){ - thisRow.css("background-color", "white"); - } - - var thisValueField = thisRow.find('.valueField'); - - var originalValue = thisValueField[0].defaultValue; - var thisClassNames = thisRow.find('input:eq(1)').attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - thisRow.find('input:eq(1)').removeClass(valueClass).addClass(originalValue).val(originalValue); - - if (thisValueField.length > 1){ - var originalValue = thisValueField[1].defaultValue; - var thisClassNames = thisRow.find('input:eq(2)').attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - thisRow.find('input:eq(2)').removeClass(valueClass).addClass(originalValue).val(originalValue); - } - } - }); - - var tiptext2 = "e.g., 4, 6-30, 43"; - var blockField = $('#showHideOptions').find('input[name=removeField]'); //ZS: Field where user inputs the index of the samples he/she wants to block; created variable because it's used often - - if(blockField.val() == '' || blockField.val() == tiptext2) { - blockField.addClass('searchtip'); - blockField.val(tiptext2); - } - - blockField.focus(function(e) { - if(blockField.val() == tiptext2) { - blockField.val(''); - } - blockField.removeClass('searchtip'); - }); - - blockField.blur(function(e) { - if(blockField.val() == '') { - blockField.addClass('searchtip'); - blockField.val(tiptext2); - } else if(blockField.val() == tiptext2) { - blockField.addClass('searchtip'); - } else { - blockField.removeClass('searchtip'); - } - }); - - var noValShown = new Boolean(1); - var outliersShown = new Boolean(1); - - $('#showHideOptions').bind('click', function(e){ - var target = e.target; - $target = $(target); - - if (target.name === 'blockSamples'){ - if (blockField.val() == tiptext2){ - blockField.val('') - } - blockedText = blockField.val(); - blockedTextSplit = new Array(); - blockedItems = new Array(); - - blockedTextSplit = blockedText.split(/\,/); - - for (i=0;i<=blockedTextSplit.length-1;i++) { - var item = blockedTextSplit[i]; - if(item.indexOf('-') != -1){ - subArray = new Array(); - subArray = item.split('-'); - num1 = parseInt(subArray[0]); - num2 = parseInt(subArray[1]); - for (j=num1;j<=num2;j=j+1){ - blockedItems.push(j); - } - } - else if(!(isNaN(item))) { - blockedItems.push(item); - } - } - - for (i=0;i<=blockedItems.length-1;i++) { - item = blockedItems[i]; - if ($('select[name=block_method]').val() == '0') { - var thisRow = $('#Other_'+item); - } - else { - var thisRow = $('#Primary_'+item); - } - - if (thisRow.is('.novalue')) { - continue; - } - else { - thisRow.addClass('blocked').find('input.valueField').val('x'); - } - - //First look at value cell - var thisCell = thisRow.find('input:eq(1)'); - var thisClassNames = thisCell.attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - var header = thisRow.parents('table.tablesorter').find('th.header:contains("Value"):eq(0)'); - if (header.hasClass('headerSortUp')){ - thisCell.removeClass(valueClass).addClass('-9999'); - } else if (header.hasClass('headerSortDown')){ - thisCell.removeClass(valueClass).addClass('9999'); - } else { - thisCell.removeClass(valueClass).addClass('-9999'); - } - - //Check if there is an SE column - if (thisRow.find('input.valueField').length > 1) { - var thisCell = thisRow.find('input:eq(2)'); - var thisClassNames = thisCell.attr('class').split(/\s+/); - var valueClass = thisClassNames[thisClassNames.length-1]; - var header = thisRow.parents('table.tablesorter').find('th.header:contains("SE"):eq(0)'); - if (header.hasClass('headerSortUp')){ - thisCell.removeClass(valueClass).addClass('-9999'); - } else if (header.hasClass('headerSortDown')){ - thisCell.removeClass(valueClass).addClass('9999'); - } else { - thisCell.removeClass(valueClass).addClass('-9999'); - } - } - } - } - - else if (target.name === 'showHideNoValue'){ - if (noValShown) { - $('#showHideOptions').find('input[name=showHideNoValue]').val(' Show No Value '); - for (i=1;i<=Math.max(numPrimaryRows,numOtherRows)-1;i++) { - if (i<=numPrimaryRows-1) { - var thisRow = $('#Primary_'+i); - if (thisRow.is('.novalue:visible') || thisRow.is('.blocked:visible')){ - jQuery(thisRow).addClass('invisible'); - } - } - if (i<=numOtherRows-1){ - var thisOtherRow = $('#Other_'+i); - if (thisOtherRow.is('.novalue:visible') || thisOtherRow.is('.blocked:visible')){ - if (thisOtherRow.is(':visible')){ - jQuery(thisOtherRow).addClass('invisible'); - } - } - } - } - noValShown = 0; - } - else { - $('#showHideOptions').find('input[name=showHideNoValue]').val(' Hide No Value '); - for (i=1;i<=Math.max(numPrimaryRows,numOtherRows)-1;i++) { - if (i<=numPrimaryRows-1) { - var thisRow = $('#Primary_'+i); - if (thisRow.is('.novalue') || thisRow.is('.blocked')){ - jQuery(thisRow).removeClass('invisible'); - if (!(outliersShown)) { - if (thisRow.is('.outlier:visible')){ - jQuery(thisRow).addClass('invisible'); - } - } - } - } - if (i<=numOtherRows-1){ - var thisOtherRow = $('#Other_'+i); - if (thisOtherRow.is('.novalue') || thisOtherRow.is('.blocked')){ - jQuery(thisOtherRow).removeClass('invisible'); - if (!(outliersShown)) { - if (thisOtherRow.is('.outlier:visible')){ - jQuery(thisOtherRow).addClass('invisible'); - } - } - } - } - } - noValShown = 1; - } - } - - else if (target.name === 'showHideOutliers'){ - if (outliersShown){ - $('#showHideOptions').find('input[name=showHideOutliers]').val(' Show Outliers '); - for (i=1;i<=Math.max(numPrimaryRows,numOtherRows)-1;i++) { - if (i<=numPrimaryRows-1) { - thisRow = $('#Primary_'+i); - if (thisRow.is('.outlier:visible') && (!(thisRow.is('.invisible')))) { - thisRow.addClass('invisible') - } - } - if (i<=numOtherRows-1) { - thisOtherRow = $('#Other_'+i); - if (thisOtherRow.is('.outlier:visible') && (!(thisOtherRow.is('.invisible')))) { - thisOtherRow.addClass('invisible') - } - } - } - outliersShown = 0; - } - else { - $('#showHideOptions').find('input[name=showHideOutliers]').val(' Hide Outliers '); - for (i=1;i<=Math.max(numPrimaryRows,numOtherRows)-1;i++) { - if (i<=numPrimaryRows-1) { - thisRow = $('#Primary_'+i); - if (thisRow.is('.outlier') && (!(thisRow.is(':visible')))) { - if (!(noValShown)) { - if (thisRow.is('.blocked')){ - continue; - } - } - jQuery(thisRow).removeClass('invisible') - } - } - if (i<=numOtherRows-1) { - thisOtherRow = $('#Other_'+i); - if (thisOtherRow.is('.outlier') && (!(thisOtherRow.is(':visible')))) { - if (!(noValShown)) { - if (thisOtherRow.is('.blocked')){ - continue; - } - } - jQuery(thisOtherRow).removeClass('invisible') - } - } - } - outliersShown = 1; - } - } - return false; - }); -}); - -function getTraitData(){ - primary_row_count = $('#sortable1').find('tr').length - 1; - other_row_count = $('#sortable2').find('tr').length - 1; - - primaryStrainNames = new Array(); - primaryVals = new Array(); - primaryVars = new Array(); - - allStrainNames = new Array(); - allVals = new Array(); - allVars = new Array(); - - for (i = 1;i <= primary_row_count; i++){ - thisRow = $('#Primary_'+i); - strainName = thisRow.find('span:first').text(); - primaryStrainNames.push(strainName); - allStrainNames.push(strainName); - strainVal = thisRow.find('input:eq(1)').val(); - primaryVals.push(strainVal); - allVals.push(strainVal); - strainVar = ''; // Just to initialize it in case there is no var - strainVar = thisRow.find('input:eq(2)').val(); - primaryVars.push(strainVar); - allVars.push(strainVar); - } - - otherStrainNames = new Array(); - otherVals = new Array(); - otherVars = new Array(); - - for (j = 1;j <= other_row_count; j++){ - thisRow = $('#Other_'+j) - strainName = thisRow.find('span:first').text(); - otherStrainNames.push(strainName); - strainVal = thisRow.find('input:eq(1)').val(); - otherVals.push(strainVal); - strainVar = ''; // Just to initialize it in case there is no var - strainVar = thisRow.find('input:eq(2)').val(); - otherVars.push(strainVar); - - if (jQuery.inArray(strainName, allStrainNames) == -1) { - allStrainNames.push(strainName); - allVals.push(strainVal); - allVars.push(strainVar); - } - } - - primaryData = [primaryStrainNames, primaryVals, primaryVars]; - otherData = [otherStrainNames, otherVals, otherVars]; - allData = [allStrainNames, allVals, allVars]; - - return [primaryData, otherData, allData]; -} + var thisTable = $('#sortable1,#sortable2'); + thisTable.bind("update propertychange keyup input paste", function (e) { -/* -used by networkGraphPageBody.py -*/ + var target = e.target; + $target = $(target); -//Default to plain text + symbol for the "Export Graph File" button -$('input[name=exportGraphFile]').live('click', function() { window.open($('input[name=exportFilename]').val() + "_plain_symbol.txt") }); + if (target.nodeName.toLowerCase() == 'input') { + thisClassNames = $target.attr('class').split(/\s+/); + valueClass = thisClassNames[thisClassNames.length - 1]; + newValue = $target.val(); + thisParent = $target.parent('td'); + thisParentId = thisParent.attr('id'); + + $target.removeClass(valueClass); + + if (newValue == 'x') { + thisParent.parent('tr').addClass('blocked'); + } else { + $('#' + thisParentId).children('input.valueField:eq(0)').addClass(newValue); + } + } + }); + + //////////////////////////////////// + // Initially close tabs + //////////////////////////////////// + thisForm = $('form[name="dataInput"]'); + + $('#sectionbody2').hide(); + $('#sectionbody3').hide(); + $('#sectionbody4').hide(); + + $('#title1').click(function () { + $('#sectionbody1').toggle(); + return false; + }); + $('#title2').click(function () { + $('#sectionbody2').toggle(); + return false; + }); + $('#title3').click(function () { + $('#sectionbody3').toggle(); + return false; + }); + $('#title4').click(function () { + $('#sectionbody4').toggle(); + return false; + }); + $('#title5').click(function () { + $('#sectionbody5').toggle(); + return false; + }); -function changeFormat(graphName){ - var graphFormat = $('#exportFormat').val(); - var traitType = $('#traitType').val(); - $('input[name=exportGraphFile]').die('click'); - if (graphFormat=="xgmml"){ - if (traitType=="symbol"){ - var graphFile = graphName+ "_xgmml_symbol.txt"; - $('input[name=exportGraphFile]').live('click', function() { window.open(graphFile) }); + ////////////////////////////////////////////////////////////// + // Switch out + and - icon when you click each section header + ////////////////////////////////////////////////////////////// + var expand_html = "<span class=\"expand_container\"> <IMG src=\"/images/Expand.gif\" alt=\"Expand\"></span>"; + var contract_html = "<span class=\"contract_container\"> <IMG src=\"/images/Contract.gif\" alt=\"Contract\"></span>"; + + $('#title2, #title3, #title4').prepend(expand_html).addClass('1'); + + $('#title1, #title5').prepend(contract_html).addClass('0'); + + for (i = 1; i <= 5; i++) { + $('#title' + i).click(function () { + if ($(this).hasClass('0')) { + $(this).find('span').replaceWith(expand_html); + $(this).removeClass('0'); + $(this).addClass('1'); + } else { + $(this).find('span').replaceWith(contract_html); + $(this).removeClass('1'); + $(this).addClass('0'); + } + }); + } + + // Exclude cases by attributes + $('div.attribute_values:first').css('display', 'inline'); //Display the dropdown menu with the first attribute's distinct values + $('select[name=exclude_menu]').change(function () { + $('div.attribute_values').css('display', 'none'); //clear all other menus when a new attribute is selected + attribute = $(this).val(); + //attribute = $('select[name=exclude_menu]').val(); + menu = $('div.attribute_values').find('[name=\'' + attribute + '\']'); + menu.parent().css('display', 'inline'); + }); + + primary_row_count = $('#primary').find('tr').length - 1; + other_row_count = $('#other').find('tr').length - 1; + + if (primary_row_count >= other_row_count) { + row_count = primary_row_count; + } else { + row_count = other_row_count; + } + + $('div.attribute_values').children('select').change(function () { + exclude_value = $(this).val(); + }); +}); + +$(window).load(function () { + + //ZS: These are needed in a few places; looping through rows by index is faster than doing a "find" search + numPrimaryRows = $('#sortable1').find('tr').length; + numOtherRows = $('#sortable2').find('tr').length; + + + /////////////////////////////// + //Basic Statistics + /////////////////////////////// + ///////////////////////////////////////////////////////////////// + // Hide unselected Basic Statistics tabs (when just BXD strains + // are selected, hide the results for all strains/non-BXD) + ///////////////////////////////////////////////////////////////// + $('#stats_tabs1').hide(); + $('#stats_tabs2').hide(); + + $('#sectionbody2').find('select[name=stats_mdp]').change(function () { + selected = $('#sectionbody2').find('select[name=stats_mdp] option:selected').val(); + for (i = 0; i <= 2; i++) { + $('#stats_tabs' + i).hide(); + } + $('#stats_tabs' + selected).show(); + }); + + //////////////////////////////////////////////////////////////////////// + // Select the same tab across each sample group (when a Box Plot is + // selected for BXD, switching to Non-BXD will also display a Box Plot) + ////////////./////////////////////////////////////////////////////////// + var $tabs1 = $('#stats_tabs0').tabs(); + var $tabs2 = $('#stats_tabs1').tabs(); + var $tabs3 = $('#stats_tabs2').tabs(); + + $tabs1.tabs({ + show: function (event, ui) { + var selected = $tabs1.tabs('option', 'selected'); + $tabs2.tabs('select', selected); + $tabs3.tabs('select', selected); + } + }); + $tabs2.tabs({ + show: function (event, ui) { + var selected = $tabs2.tabs('option', 'selected'); + $tabs1.tabs('select', selected); + $tabs3.tabs('select', selected); + } + }); + $tabs3.tabs({ + show: function (event, ui) { + var selected = $tabs3.tabs('option', 'selected'); + $tabs1.tabs('select', selected); + $tabs2.tabs('select', selected); + } + }); + + + /////////////////////////////// + //Calculate Correlations + /////////////////////////////// + $('#sectionbody3').find('input[name="sample_corr"]').click(function () { + dbValue = $('select[name=database1] option:selected').val(); + $('input[name=database]').val(dbValue); + criteriaValue = $('select[name=criteria1] option:selected').val(); + $('input[name=criteria]').val(criteriaValue); + MDPValue = $('select[name=MDPChoice1] option:selected').val(); + $('input[name=MDPChoice]').val(MDPValue); + + methodValue = $('input[name=sample_method]:checked').val(); + + //This simple method can be used now that 'method' is defaulted to None instead of '' + if (methodValue == "1") { + $('input[name=method]').val('1'); + } else { + $('input[name=method]').val('2'); + } + + dataEditingFunc(this.form, 'correlation'); + }); + + $('#sectionbody3').find('input[name="lit_corr"]').click(function () { + dbValue = $('select[name=database2] option:selected').val(); + $('input[name=database]').val(dbValue); + criteriaValue = $('select[name=criteria2] option:selected').val(); + $('input[name=criteria]').val(criteriaValue); + MDPValue = $('select[name=MDPChoice2] option:selected').val(); + $('input[name=MDPChoice]').val(MDPValue); + + $('input[name=method]').val('3'); + + dataEditingFunc(this.form, 'correlation'); + }); + + $('#sectionbody3').find('input[name="tiss_corr"]').click(function () { + dbValue = $('select[name=database3] option:selected').val(); + $('input[name=database]').val(dbValue); + criteriaValue = $('select[name=criteria3] option:selected').val(); + $('input[name=criteria]').val(criteriaValue); + MDPValue = $('select[name=MDPChoice3] option:selected').val(); + $('input[name=MDPChoice]').val(MDPValue); + + methodValue = $('input[name=tissue_method]:checked').val(); + + if (methodValue == "4") { + $('input[name=method]').val('4'); + } else { + $('input[name=method]').val('5'); + } + dataEditingFunc(this.form, 'correlation'); + }); + + /////////////////////////////// + //Mapping Tools + /////////////////////////////// + $('#sectionbody4').find('input[name=interval]').click(function () { + chrValue = $('select[name=chromosomes1] option:selected').val(); + $('input[name=chromosomes]').val(chrValue); + scaleValue = $('select[name=scale1] option:selected').val(); + $('input[name=scale]').val(scaleValue); + $('input[name=controlLocus]').val(''); + + //Changed the way permValue, bootValue, and parentsValue are acquired; before it was $(____).is(':checked'); + permValue = $('input[name=permCheck1]:checked').val(); + $('input[name=permCheck]').val(permValue); + + bootValue = $('input[name=bootCheck1]:checked').val(); + $('input[name=bootCheck]').val(bootValue); + + if ($('input[name=parentsf14regression1]:checked').length > 0) { + $('input[name=parentsf14regression]').val('on'); + } else { + $('input[name=parentsf14regression]').val('off'); + } + + varValue = $('input[name=applyVarianceSE1]:checked').val(); + $('input[name=applyVarianceSE]').val(varValue); + + dataEditingFunc(this.form, 'intervalMap'); + }); + + var tiptext = "e.g., rs12345"; + controlLocus = $('#sectionbody4').find('input[name=controlLocus]'); + + if (controlLocus.val() == '' || controlLocus == tiptext) { + controlLocus.addClass('searchtip').val(tiptext); + } + + controlLocus.focus(function (e) { + if (controlLocus.val() == tiptext) { + controlLocus.val(''); + } + controlLocus.removeClass('searchtip'); + }); + + controlLocus.blur(function (e) { + if (controlLocus.val() == '') { + controlLocus.addClass('searchtip').val(tiptext); + } else if (controlLocus.val() == tiptext) { + controlLocus.addClass('searchtip'); + } else { + controlLocus.removeClass('searchtip'); + } + }); + + $('#sectionbody4').find('input[name=composite]').click(function () { + chrValue = $('select[name=chromosomes2] option:selected').val(); + $('input[name=chromosomes]').val(chrValue); + scaleValue = $('select[name=scale2] option:selected').val(); + $('input[name=scale]').val(scaleValue); + controlValue = controlLocus.val(); + if (controlValue != tiptext) { + controlLocus.val(controlValue); + } else { + controlLocus.val(''); + } + + //Changed the way permValue, bootValue, and parentsValue are acquired; before it was $(____).is(':checked'); + permValue = $('input[name=permCheck2]:checked').val(); + $('input[name=permCheck]').val(permValue); + + bootValue = $('input[name=bootCheck2]:checked').val(); + $('input[name=bootCheck]').val(bootValue); + + if ($('input[name=parentsf14regression3]:checked').length > 0) { + $('input[name=parentsf14regression]').val('on'); + } else { + $('input[name=parentsf14regression]').val('off'); + } + + dataEditingFunc(this.form, 'intervalMap'); + + }); + + $('#sectionbody4').find('input[name=marker]').click(function () { + //Changed the way parentsValue is acquired; before it was $(____).is(':checked'); + if ($('input[name=parentsf14regression2]:checked').length > 0) { + $('input[name=parentsf14regression]').val('on'); + } else { + $('input[name=parentsf14regression]').val('off'); + } + + varValue = $('input[name=applyVarianceSE2]:checked').val(); + $('input[name=applyVarianceSE]').val(varValue); + + dataEditingFunc(this.form, 'markerRegression'); + }); + + /////////////////////////////// + //Review and Edit Data + /////////////////////////////// + $('input[name=excludeGroup]').click(function () { + for (i = 1; i <= Math.max(primary_row_count, other_row_count) - 1; i++) { + valueExists = 0; + $('#Primary_' + i + ',#Other_' + i).children().each(function () { + if ($(this).text() == exclude_value) { + $('#Primary_' + i + ',#Other_' + i).addClass('blocked').find('input[type=text]').val('x'); + valueExists = 1; + return false; } - else if (traitType=="name"){ - var graphFile = graphName+ "_xgmml_name.txt"; - $('input[name=exportGraphFile]').live('click', function() { window.open(graphFile) }); + }); + } + }); + + $('.update').click(function () { + windowName = 'formTarget' + (new Date().getTime()); + var windowHeight; // windowHeight and windowWidth are used to place the window in the center of the screen + var windowWidth; + windowHeight = (window.screen.height/2) - (350 + 10) + windowWidth = (window.screen.width/2) - (450 + 50) + newWindow = open("",windowName,"menubar=1,toolbar=1,resizable=1,left=" + windowWidth + ",top=" + windowHeight + ",screenX=" + windowWidth + ",screenY=" + windowHeight + ",status=1,scrollbars=0,directories=1"); + + document.dataInput.target = windowName; + document.dataInput.submitID.value = "basicStatistics"; + + primaryData = getTraitData()[0]; + otherData = getTraitData()[1]; + allData = getTraitData()[2]; + + if (otherData[0].length > 0) { + if ($('select[name="stats_mdp"] option:selected').val() == 0) { + document.dataInput.strainNames.value = allData[0].toString(); + document.dataInput.strainVals.value = allData[1].toString(); + document.dataInput.strainVars.value = allData[2].toString(); + } else if ($('select[name="stats_mdp"] option:selected').val() == 1) { + document.dataInput.strainNames.value = primaryData[0].toString(); + document.dataInput.strainVals.value = primaryData[1].toString(); + document.dataInput.strainVars.value = primaryData[2].toString(); + } else { + document.dataInput.strainNames.value = otherData[0].toString(); + document.dataInput.strainVals.value = otherData[1].toString(); + document.dataInput.strainVars.value = otherData[2].toString(); + } + } else { + document.dataInput.strainNames.value = allData[0].toString(); + document.dataInput.strainVals.value = allData[1].toString(); + document.dataInput.strainVars.value = allData[2].toString(); + } + + document.dataInput.submit(); + }); + + $('input[name="export"]').click(function () { + windowName = 'formTarget' + (new Date().getTime()); + newWindow = open("", windowName, "menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=0,directories=1,width=900"); + document.dataInput.target = windowName; + document.dataInput.submitID.value = "exportData"; + + primaryData = getTraitData()[0]; + otherData = getTraitData()[1]; + + document.dataInput.strainNames.value = primaryData[0].toString(); + document.dataInput.strainVals.value = primaryData[1].toString(); + document.dataInput.strainVars.value = primaryData[2].toString(); + + document.dataInput.otherStrainNames.value = otherData[0].toString(); + document.dataInput.otherStrainVals.value = otherData[1].toString(); + document.dataInput.otherStrainVars.value = otherData[2].toString(); + + attribute_names = new Array(); + $('#primary,#other').find('th.attribute_name').each(function () { + attribute_names.push($(this).val().toString()); + }); + + primary_attribute_values = ""; //This string will be structured as a dictionary with a set of values for each attribute; it will be parsed in the ExportPage class + other_attribute_values = ""; + + attr_counter = 1; // Counter for each different attribute + row_counter = 1; // Counter for each value for each attribute + while (attr_counter <= attribute_names.length) { + attribute_name = $('#primary,#other').find('th.attribute_name:eq(' + (attr_counter - 1).toString() + ')').text(); + primary_row_count = $('#primary').find('tr').length - 1; + other_row_count = $('#other').find('tr').length - 1; + + primary_attribute_values += attribute_name + " : "; + other_attribute_values += attribute_name + " : "; + + primary_value_string = ""; //This string of values (in the format 'a,b,c', etc) will be appended to the primary_attribute_values string + for (row_counter = 1; row_counter <= numPrimaryRows; row_counter++) { + value = $('#primary_attribute' + attr_counter.toString() + '_sample' + row_counter.toString()).text(); + if (row_counter == primary_row_count) { + primary_value_string += (value + " / "); + } else { + primary_value_string += (value + ","); } + } + + primary_attribute_values += primary_value_string; + + other_value_string = ""; //This string of values (in the format 'a,b,c', etc) will be appended to the other_attribute_values string + for (row_counter = 1; row_counter <= numOtherRows; row_counter++) { + value = $('#other_attribute' + attr_counter.toString() + '_sample' + row_counter.toString()).text(); + if (row_counter == other_row_count) { + other_value_string += (value + " / "); + } else { + other_value_string += (value + ","); + } + } + other_attribute_values += other_value_string; + attr_counter += 1 + } + + document.dataInput.extra_attributes.value = primary_attribute_values; + document.dataInput.other_extra_attributes.value = other_attribute_values; + + document.dataInput.submit(); + }); + + var thisTable = $('#sortable1,#sortable2'); //ZS: variable representing each table, because it's used often + thisTable.find('input[name="selectCheck"]').click(function () { + if ($(this).is(':checked')) { + $(this).parent("").parent("").children("td").css("background-color", "yellow"); + } else { + if (!($(this).parent().parent().hasClass('outlier'))) { + $(this).parent().parent().children("td").css("background-color", "white"); + } } + }); - else if (graphFormat=="plain"){ - if (traitType=="symbol"){ - var graphFile = graphName+ "_plain_symbol.txt"; - $('input[name=exportGraphFile]').live('click', function() { window.open(graphFile) }); + $('input[name=resetButton]').click(function () { + + //ZS: Reset "hide no value" and "hide outliers" + $('#showHideOptions').find('input[name=showHideNoValue]').val(' Hide No Value '); + $('#showHideOptions').find('input[name=showHideOutliers]').val(' Hide Outliers '); + noValShown = 1; + outliersShown = 1; + + for (i = 1; i <= numPrimaryRows - 1; i++) { + var thisRow = $('#Primary_' + i); + if (thisRow.is('.invisible')) { + thisRow.removeClass('invisible'); + } + if (thisRow.is('.blocked')) { + thisRow.removeClass('blocked'); + } + if (thisRow.is(':not(.outlier)')) { + thisRow.css("background-color", "white"); + } + + var thisValueField = thisRow.find('.valueField'); + + var originalValue = thisValueField[0].defaultValue; + var thisClassNames = thisRow.find('input:eq(1)').attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + thisRow.find('input:eq(1)').removeClass(valueClass).addClass(originalValue).val(originalValue); + + if (thisValueField.length > 1) { + var originalValue = thisValueField[1].defaultValue; + var thisClassNames = thisRow.find('input:eq(2)').attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + thisRow.find('input:eq(2)').removeClass(valueClass).addClass(originalValue).val(originalValue); + } + } + for (i = 1; i <= numOtherRows - 1; i++) { + var thisRow = $('#Other_' + i); + if (thisRow.is('.invisible')) { + thisRow.removeClass('invisible') + } + if (thisRow.is('.blocked')) { + thisRow.removeClass('blocked'); + } + if (thisRow.is(':not(.outlier)')) { + thisRow.css("background-color", "white"); + } + + var thisValueField = thisRow.find('.valueField'); + + var originalValue = thisValueField[0].defaultValue; + var thisClassNames = thisRow.find('input:eq(1)').attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + thisRow.find('input:eq(1)').removeClass(valueClass).addClass(originalValue).val(originalValue); + + if (thisValueField.length > 1) { + var originalValue = thisValueField[1].defaultValue; + var thisClassNames = thisRow.find('input:eq(2)').attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + thisRow.find('input:eq(2)').removeClass(valueClass).addClass(originalValue).val(originalValue); + } + } + }); + + var tiptext2 = "e.g., 4, 6-30, 43"; + var blockField = $('#showHideOptions').find('input[name=removeField]'); //ZS: Field where user inputs the index of the samples he/she wants to block; created variable because it's used often + if (blockField.val() == '' || blockField.val() == tiptext2) { + blockField.addClass('searchtip'); + blockField.val(tiptext2); + } + + blockField.focus(function (e) { + if (blockField.val() == tiptext2) { + blockField.val(''); + } + blockField.removeClass('searchtip'); + }); + + blockField.blur(function (e) { + if (blockField.val() == '') { + blockField.addClass('searchtip'); + blockField.val(tiptext2); + } else if (blockField.val() == tiptext2) { + blockField.addClass('searchtip'); + } else { + blockField.removeClass('searchtip'); + } + }); + + var noValShown = new Boolean(1); + var outliersShown = new Boolean(1); + + $('#showHideOptions').bind('click', function (e) { + var target = e.target; + $target = $(target); + + if (target.name === 'blockSamples') { + if (blockField.val() == tiptext2) { + blockField.val('') + } + blockedText = blockField.val(); + blockedTextSplit = new Array(); + blockedItems = new Array(); + + blockedTextSplit = blockedText.split(/\,/); + + for (i = 0; i <= blockedTextSplit.length - 1; i++) { + var item = blockedTextSplit[i]; + if (item.indexOf('-') != -1) { + subArray = new Array(); + subArray = item.split('-'); + num1 = parseInt(subArray[0]); + num2 = parseInt(subArray[1]); + for (j = num1; j <= num2; j = j + 1) { + blockedItems.push(j); + } + } else if (!(isNaN(item))) { + blockedItems.push(item); + } + } + + for (i = 0; i <= blockedItems.length - 1; i++) { + item = blockedItems[i]; + if ($('select[name=block_method]').val() == '0') { + var thisRow = $('#Other_' + item); + } else { + var thisRow = $('#Primary_' + item); + } + + if (thisRow.is('.novalue')) { + continue; + } else { + thisRow.addClass('blocked').find('input.valueField').val('x'); + } + + //First look at value cell + var thisCell = thisRow.find('input:eq(1)'); + var thisClassNames = thisCell.attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + var header = thisRow.parents('table.tablesorter').find('th.header:contains("Value"):eq(0)'); + if (header.hasClass('headerSortUp')) { + thisCell.removeClass(valueClass).addClass('-9999'); + } else if (header.hasClass('headerSortDown')) { + thisCell.removeClass(valueClass).addClass('9999'); + } else { + thisCell.removeClass(valueClass).addClass('-9999'); + } + + //Check if there is an SE column + if (thisRow.find('input.valueField').length > 1) { + var thisCell = thisRow.find('input:eq(2)'); + var thisClassNames = thisCell.attr('class').split(/\s+/); + var valueClass = thisClassNames[thisClassNames.length - 1]; + var header = thisRow.parents('table.tablesorter').find('th.header:contains("SE"):eq(0)'); + if (header.hasClass('headerSortUp')) { + thisCell.removeClass(valueClass).addClass('-9999'); + } else if (header.hasClass('headerSortDown')) { + thisCell.removeClass(valueClass).addClass('9999'); + } else { + thisCell.removeClass(valueClass).addClass('-9999'); + } + } + } + } else if (target.name === 'showHideNoValue') { + if (noValShown) { + $('#showHideOptions').find('input[name=showHideNoValue]').val(' Show No Value '); + for (i = 1; i <= Math.max(numPrimaryRows, numOtherRows) - 1; i++) { + if (i <= numPrimaryRows - 1) { + var thisRow = $('#Primary_' + i); + if (thisRow.is('.novalue:visible') || thisRow.is('.blocked:visible')) { + jQuery(thisRow).addClass('invisible'); + } + } + if (i <= numOtherRows - 1) { + var thisOtherRow = $('#Other_' + i); + if (thisOtherRow.is('.novalue:visible') || thisOtherRow.is('.blocked:visible')) { + if (thisOtherRow.is(':visible')) { + jQuery(thisOtherRow).addClass('invisible'); + } + } + } + } + noValShown = 0; + } else { + $('#showHideOptions').find('input[name=showHideNoValue]').val(' Hide No Value '); + for (i = 1; i <= Math.max(numPrimaryRows, numOtherRows) - 1; i++) { + if (i <= numPrimaryRows - 1) { + var thisRow = $('#Primary_' + i); + if (thisRow.is('.novalue') || thisRow.is('.blocked')) { + jQuery(thisRow).removeClass('invisible'); + if (!(outliersShown)) { + if (thisRow.is('.outlier:visible')) { + jQuery(thisRow).addClass('invisible'); + } + } + } + } + if (i <= numOtherRows - 1) { + var thisOtherRow = $('#Other_' + i); + if (thisOtherRow.is('.novalue') || thisOtherRow.is('.blocked')) { + jQuery(thisOtherRow).removeClass('invisible'); + if (!(outliersShown)) { + if (thisOtherRow.is('.outlier:visible')) { + jQuery(thisOtherRow).addClass('invisible'); + } + } + } + } } - else if (traitType=="name"){ - var graphFile = graphName+ "_plain_name.txt"; - $('input[name=exportGraphFile]').live('click', function() { window.open(graphFile) }); + noValShown = 1; + } + } else if (target.name === 'showHideOutliers') { + if (outliersShown) { + $('#showHideOptions').find('input[name=showHideOutliers]').val(' Show Outliers '); + for (i = 1; i <= Math.max(numPrimaryRows, numOtherRows) - 1; i++) { + if (i <= numPrimaryRows - 1) { + thisRow = $('#Primary_' + i); + if (thisRow.is('.outlier:visible') && (!(thisRow.is('.invisible')))) { + thisRow.addClass('invisible') + } + } + if (i <= numOtherRows - 1) { + thisOtherRow = $('#Other_' + i); + if (thisOtherRow.is('.outlier:visible') && (!(thisOtherRow.is('.invisible')))) { + thisOtherRow.addClass('invisible') + } + } + } + outliersShown = 0; + } else { + $('#showHideOptions').find('input[name=showHideOutliers]').val(' Hide Outliers '); + for (i = 1; i <= Math.max(numPrimaryRows, numOtherRows) - 1; i++) { + if (i <= numPrimaryRows - 1) { + thisRow = $('#Primary_' + i); + if (thisRow.is('.outlier') && (!(thisRow.is(':visible')))) { + if (!(noValShown)) { + if (thisRow.is('.blocked')) { + continue; + } + } + jQuery(thisRow).removeClass('invisible') + } + } + if (i <= numOtherRows - 1) { + thisOtherRow = $('#Other_' + i); + if (thisOtherRow.is('.outlier') && (!(thisOtherRow.is(':visible')))) { + if (!(noValShown)) { + if (thisOtherRow.is('.blocked')) { + continue; + } + } + jQuery(thisOtherRow).removeClass('invisible') + } + } } + outliersShown = 1; + } + } + return false; + }); +}); + +function getTraitData() { + primary_row_count = $('#sortable1').find('tr').length - 1; + other_row_count = $('#sortable2').find('tr').length - 1; + + primaryStrainNames = new Array(); + primaryVals = new Array(); + primaryVars = new Array(); + + allStrainNames = new Array(); + allVals = new Array(); + allVars = new Array(); + + for (i = 1; i <= primary_row_count; i++) { + thisRow = $('#Primary_' + i); + strainName = thisRow.find('span:first').text(); + primaryStrainNames.push(strainName); + allStrainNames.push(strainName); + strainVal = thisRow.find('input:eq(1)').val(); + primaryVals.push(strainVal); + allVals.push(strainVal); + strainVar = ''; // Just to initialize it in case there is no var + strainVar = thisRow.find('input:eq(2)').val(); + primaryVars.push(strainVar); + allVars.push(strainVar); + } + + otherStrainNames = new Array(); + otherVals = new Array(); + otherVars = new Array(); + + for (j = 1; j <= other_row_count; j++) { + thisRow = $('#Other_' + j) + strainName = thisRow.find('span:first').text(); + otherStrainNames.push(strainName); + strainVal = thisRow.find('input:eq(1)').val(); + otherVals.push(strainVal); + strainVar = ''; // Just to initialize it in case there is no var + strainVar = thisRow.find('input:eq(2)').val(); + otherVars.push(strainVar); + + if (jQuery.inArray(strainName, allStrainNames) == -1) { + allStrainNames.push(strainName); + allVals.push(strainVal); + allVars.push(strainVar); } + } + + primaryData = [primaryStrainNames, primaryVals, primaryVars]; + otherData = [otherStrainNames, otherVals, otherVars]; + allData = [allStrainNames, allVals, allVars]; + + return [primaryData, otherData, allData]; } +/* +used by networkGraphPageBody.py +*/ + +//Default to plain text + symbol for the "Export Graph File" button +$('input[name=exportGraphFile]').live('click', function () { + window.open($('input[name=exportFilename]').val() + "_plain_symbol.txt") +}); + +function changeFormat(graphName) { + var graphFormat = $('#exportFormat').val(); + var traitType = $('#traitType').val(); + + $('input[name=exportGraphFile]').die('click'); + + if (graphFormat == "xgmml") { + if (traitType == "symbol") { + var graphFile = graphName + "_xgmml_symbol.txt"; + $('input[name=exportGraphFile]').live('click', function () { + window.open(graphFile) + }); + } else if (traitType == "name") { + var graphFile = graphName + "_xgmml_name.txt"; + $('input[name=exportGraphFile]').live('click', function () { + window.open(graphFile) + }); + } + } else if (graphFormat == "plain") { + if (traitType == "symbol") { + var graphFile = graphName + "_plain_symbol.txt"; + $('input[name=exportGraphFile]').live('click', function () { + window.open(graphFile) + }); + } else if (traitType == "name") { + var graphFile = graphName + "_plain_name.txt"; + $('input[name=exportGraphFile]').live('click', function () { + window.open(graphFile) + }); + } + } +}
\ No newline at end of file diff --git a/web/webqtl/correlation/CorrelationPage.py b/web/webqtl/correlation/CorrelationPage.py index 8ce669cb..1fd16021 100755 --- a/web/webqtl/correlation/CorrelationPage.py +++ b/web/webqtl/correlation/CorrelationPage.py @@ -23,6 +23,9 @@ # Created by GeneNetwork Core Team 2010/08/10 # # Last updated by NL 2011/02/11 +# Last updated by Christian Fernandez 2012/04/07 +# Refactored correlation calculation into smaller functions in preparation of +# separating html from existing code import string from math import * @@ -47,447 +50,324 @@ from dbFunction import webqtlDatabaseFunction import utility.webqtlUtil #this is for parallel computing only. from correlation import correlationFunction +import logging +logging.basicConfig(filename="/tmp/gn_log", level=logging.INFO) +_log = logging.getLogger("correlation") -class CorrelationPage(templatePage): +METHOD_SAMPLE_PEARSON = "1" +METHOD_SAMPLE_RANK = "2" +METHOD_LIT = "3" +METHOD_TISSUE_PEARSON = "4" +METHOD_TISSUE_RANK = "5" - corrMinInformative = 4 +TISSUE_METHODS = [METHOD_TISSUE_PEARSON, METHOD_TISSUE_RANK] - def __init__(self, fd): +TISSUE_MOUSE_DB = 1 - #XZ, 01/14/2009: This method is for parallel computing only. - #XZ: It is supposed to be called when "Genetic Correlation, Pearson's r" (method 1) - #XZ: or "Genetic Correlation, Spearman's rho" (method 2) is selected - def compute_corr( input_nnCorr, input_trait, input_list, computing_method): +class AuthException(Exception): pass - allcorrelations = [] - for line in input_list: - tokens = line.split('","') - tokens[-1] = tokens[-1][:-2] #remove the last " - tokens[0] = tokens[0][1:] #remove the first " +class Trait(object): + def __init__(self, name, raw_values = None, lit_corr = None, tissue_corr = None, p_tissue = None): + self.name = name + self.raw_values = raw_values + self.lit_corr = lit_corr + self.tissue_corr = tissue_corr + self.p_tissue = p_tissue + self.correlation = 0 + self.p_value = 0 - traitdataName = tokens[0] - database_trait = tokens[1:] + @staticmethod + def from_csv(line, data_start = 1): + name = line[0] + numbers = line[data_start:] + # _log.info(numbers) + numbers = [ float(number) for number in numbers ] - if computing_method == "1": #XZ: Pearson's r - corr,nOverlap = utility.webqtlUtil.calCorrelationText(input_trait, database_trait, input_nnCorr) - else: #XZ: Spearman's rho - corr,nOverlap = utility.webqtlUtil.calCorrelationRankText(input_trait, database_trait, input_nnCorr) - traitinfo = [traitdataName,corr,nOverlap] - allcorrelations.append(traitinfo) + return Trait(name, raw_values = numbers) - return allcorrelations + def calculate_correlation(self, values, method): + """Calculate the correlation value and p value according to the method specified""" + #ZS: This takes the list of values of the trait our selected trait is being correlated against and removes the values of the samples our trait has no value for + #There's probably a better way of dealing with this, but I'll have to ask Christian + updated_raw_values = [] + updated_values = [] + for i in range(len(values)): + if values[i] != "None": + updated_raw_values.append(self.raw_values[i]) + updated_values.append(values[i]) - templatePage.__init__(self, fd) + self.raw_values = updated_raw_values + values = updated_values - if not self.openMysql(): - return - - if not fd.genotype: - fd.readGenotype() + if method == METHOD_SAMPLE_PEARSON or method == METHOD_LIT or method == METHOD_TISSUE_PEARSON: + corr,nOverlap = webqtlUtil.calCorrelation(self.raw_values, values, len(values)) + else: + corr,nOverlap = webqtlUtil.calCorrelationRank(self.raw_values, values, len(values)) - #XZ, 09/18/2008: get the information such as value, variance of the input strain names from the form. - if fd.allstrainlist: - mdpchoice = fd.formdata.getvalue('MDPChoice') - #XZ, in HTML source code, it is "BXD Only" or "BXH only", and so on - if mdpchoice == "1": - strainlist = fd.f1list + fd.strainlist - #XZ, in HTML source code, it is "MDP Only" - elif mdpchoice == "2": - strainlist = [] - strainlist2 = fd.f1list + fd.strainlist - for strain in fd.allstrainlist: - if strain not in strainlist2: - strainlist.append(strain) - #So called MDP Panel - if strainlist: - strainlist = fd.f1list+fd.parlist+strainlist - #XZ, in HTML source code, it is "All Cases" + self.correlation = corr + self.overlap = nOverlap + + if self.overlap < 3: + self.p_value = 1.0 + else: + #ZS - This is probably the wrong way to deal with this. Correlation values of 1.0 definitely exist (the trait correlated against itself), so zero division needs to br prevented. + if abs(self.correlation) >= 1.0: + self.p_value = 0.0 else: - strainlist = fd.allstrainlist - #XZ, 09/18/2008: put the trait data into dictionary fd.allTraitData - fd.readData(fd.allstrainlist) - else: - mdpchoice = None - strainlist = fd.strainlist - #XZ, 09/18/2008: put the trait data into dictionary fd.allTraitData - fd.readData() + ZValue = 0.5*log((1.0+self.correlation)/(1.0-self.correlation)) + ZValue = ZValue*sqrt(self.overlap-3) + self.p_value = 2.0*(1.0 - reaper.normp(abs(ZValue))) - #XZ, 3/16/2010: variable RISet must be pass by the form - RISet = fd.RISet - #XZ, 12/12/2008: get species infomation - species = webqtlDatabaseFunction.retrieveSpecies(cursor=self.cursor, RISet=RISet) + - #XZ, 09/18/2008: get all information about the user selected database. - self.target_db_name = fd.formdata.getvalue('database') +#XZ, 01/14/2009: This method is for parallel computing only. +#XZ: It is supposed to be called when "Genetic Correlation, Pearson's r" (method 1) +#XZ: or "Genetic Correlation, Spearman's rho" (method 2) is selected +def compute_corr( input_nnCorr, input_trait, input_list, computing_method): + + allcorrelations = [] + + for line in input_list: + tokens = line.split('","') + tokens[-1] = tokens[-1][:-2] #remove the last " + tokens[0] = tokens[0][1:] #remove the first " + + traitdataName = tokens[0] + database_trait = tokens[1:] + + if computing_method == "1": #XZ: Pearson's r + corr,nOverlap = utility.webqtlUtil.calCorrelationText(input_trait, database_trait, input_nnCorr) + else: #XZ: Spearman's rho + corr,nOverlap = utility.webqtlUtil.calCorrelationRankText(input_trait, database_trait, input_nnCorr) + traitinfo = [traitdataName,corr,nOverlap] + allcorrelations.append(traitinfo) + + return allcorrelations + +def get_correlation_method_key(form_data): + #XZ, 09/28/2008: if user select "1", then display 1, 3 and 4. + #XZ, 09/28/2008: if user select "2", then display 2, 3 and 5. + #XZ, 09/28/2008: if user select "3", then display 1, 3 and 4. + #XZ, 09/28/2008: if user select "4", then display 1, 3 and 4. + #XZ, 09/28/2008: if user select "5", then display 2, 3 and 5. + + method = form_data.formdata.getvalue("method") + if method not in ["1", "2", "3" ,"4", "5"]: + return "1" + + return method + + +def get_custom_trait(form_data, cursor): + """Pulls the custom trait, if it exists, out of the form data""" + trait_name = form_data.formdata.getvalue('fullname') + + if trait_name: + trait = webqtlTrait(fullname=trait_name, cursor=cursor) + trait.retrieveInfo() + return trait + else: + return None + + +#XZ, 09/18/2008: get the information such as value, variance of the input strain names from the form. +def get_sample_data(form_data): + if form_data.allstrainlist: + mdpchoice = form_data.formdata.getvalue('MDPChoice') + #XZ, in HTML source code, it is "BXD Only" or "BXH only", and so on + if mdpchoice == "1": + strainlist = form_data.f1list + form_data.strainlist + #XZ, in HTML source code, it is "MDP Only" + elif mdpchoice == "2": + strainlist = [] + strainlist2 = form_data.f1list + form_data.strainlist + for strain in form_data.allstrainlist: + if strain not in strainlist2: + strainlist.append(strain) + #So called MDP Panel + if strainlist: + strainlist = form_data.f1list+form_data.parlist+strainlist + #XZ, in HTML source code, it is "All Cases" + else: + strainlist = form_data.allstrainlist + #XZ, 09/18/2008: put the trait data into dictionary form_data.allTraitData + form_data.readData(form_data.allstrainlist) + else: + mdpchoice = None + strainlist = form_data.strainlist + #XZ, 09/18/2008: put the trait data into dictionary form_data.allTraitData + form_data.readData() + + return strainlist + + +def get_mdp_choice(form_data): + if form_data.allstrainlist: + return form_data.formdata.getvalue("MDPChoice") + else: + return None + + +def get_species(fd, cursor): + #XZ, 3/16/2010: variable RISet must be pass by the form + RISet = fd.RISet + #XZ, 12/12/2008: get species infomation + species = webqtlDatabaseFunction.retrieveSpecies(cursor=cursor, RISet=RISet) + return species + + +def sortTraitCorrelations(traits, method="1"): + if method in TISSUE_METHODS: + traits.sort(key=lambda trait: trait.tissue_corr != None and abs(trait.tissue_corr), reverse=True) + elif method == METHOD_LIT: + traits.sort(key=lambda trait: trait.lit_corr != None and abs(trait.lit_corr), reverse=True) + else: + traits.sort(key=lambda trait: trait.correlation != None and abs(trait.correlation), reverse=True) + + return traits + + +def auth_user_for_db(db, cursor, target_db_name, privilege, username): + """Authorize a user for access to a database if that database is + confidential. A db (identified by a record in ProbeSetFreeze) contains a + list of authorized users who may access it, as well as its confidentiality + level. + + If the current user's privilege level is greater than 'user', ie: root or + admin, then they are automatically authed, otherwise, check the + AuthorizedUsers field for the presence of their name.""" + + if db.type == 'ProbeSet': + cursor.execute('SELECT Id, Name, FullName, confidentiality, AuthorisedUsers FROM ProbeSetFreeze WHERE Name = "%s"' % target_db_name) + indId, indName, indFullName, confidential, AuthorisedUsers = cursor.fetchall()[0] + + if confidential: + authorized = 0 + + #for the dataset that confidentiality is 1 + #1. 'admin' and 'root' can see all of the dataset + #2. 'user' can see the dataset that AuthorisedUsers contains his id(stored in the Id field of User table) + if webqtlConfig.USERDICT[privilege] > webqtlConfig.USERDICT['user']: + authorized = 1 + else: + if username in AuthorisedUsers.split(","): + authorized = 1 + + if not authorized: + raise AuthException("The %s database you selected is not open to the public at this time, please go back and select other database." % indFullName) - try: - self.db = webqtlDataset(self.target_db_name, self.cursor) - except: - heading = "Correlation Table" - detail = ["The database you just requested has not been established yet."] - self.error(heading=heading,detail=detail) - return - #XZ, 09/18/2008: check if user has the authority to get access to the database. - if self.db.type == 'ProbeSet': - self.cursor.execute('SELECT Id, Name, FullName, confidentiality, AuthorisedUsers FROM ProbeSetFreeze WHERE Name = "%s"' % self.target_db_name) - indId, indName, indFullName, confidential, AuthorisedUsers = self.cursor.fetchall()[0] +class CorrelationPage(templatePage): - if confidential == 1: - access_to_confidential_dataset = 0 + corrMinInformative = 4 - #for the dataset that confidentiality is 1 - #1. 'admin' and 'root' can see all of the dataset - #2. 'user' can see the dataset that AuthorisedUsers contains his id(stored in the Id field of User table) - if webqtlConfig.USERDICT[self.privilege] > webqtlConfig.USERDICT['user']: - access_to_confidential_dataset = 1 - else: - AuthorisedUsersList=AuthorisedUsers.split(',') - if AuthorisedUsersList.__contains__(self.userName): - access_to_confidential_dataset = 1 + PAGE_HEADING = "Correlation Table" + CORRELATION_METHODS = {"1" : "Genetic Correlation (Pearson's r)", + "2" : "Genetic Correlation (Spearman's rho)", + "3" : "SGO Literature Correlation", + "4" : "Tissue Correlation (Pearson's r)", + "5" : "Tissue Correlation (Spearman's rho)"} - if not access_to_confidential_dataset: - #Error, Confidential Database - heading = "Correlation Table" - detail = ["The %s database you selected is not open to the public at this time, please go back and select other database." % indFullName] - self.error(heading=heading,detail=detail,error="Confidential Database") - return + RANK_ORDERS = {"1": 0, "2": 1, "3": 0, "4": 0, "5": 1} - #XZ, 09/18/2008: filter out the strains that have no value. - _strains, _vals, _vars, N = fd.informativeStrains(strainlist) - N = len(_strains) + def error(self, message, error="Error", heading = None): + heading = heading or self.PAGE_HEADING + return templatePage.error(heading = heading, detail = [message], error=error) - if N < self.corrMinInformative: - heading = "Correlation Table" - detail = ['Fewer than %d strain data were entered for %s data set. No calculation of correlation has been attempted.' % (self.corrMinInformative, RISet)] - self.error(heading=heading,detail=detail) + def __init__(self, fd): + + # Call the superclass constructor + templatePage.__init__(self, fd) + + # Connect to the database + if not self.openMysql(): return - #XZ, 09/28/2008: if user select "1", then display 1, 3 and 4. - #XZ, 09/28/2008: if user select "2", then display 2, 3 and 5. - #XZ, 09/28/2008: if user select "3", then display 1, 3 and 4. - #XZ, 09/28/2008: if user select "4", then display 1, 3 and 4. - #XZ, 09/28/2008: if user select "5", then display 2, 3 and 5. - methodDict = {"1":"Genetic Correlation (Pearson's r)","2":"Genetic Correlation (Spearman's rho)","3":"SGO Literature Correlation","4":"Tissue Correlation (Pearson's r)", "5":"Tissue Correlation (Spearman's rho)"} - self.method = fd.formdata.getvalue('method') - if self.method not in ("1","2","3","4","5"): - self.method = "1" + # Read the genotype from a file + if not fd.genotype: + fd.readGenotype() - self.returnNumber = int(fd.formdata.getvalue('criteria')) + sample_list = get_sample_data(fd) + mdp_choice = get_mdp_choice(fd) # No idea what this is yet + self.species = get_species(fd, self.cursor) - myTrait = fd.formdata.getvalue('fullname') - if myTrait: - myTrait = webqtlTrait(fullname=myTrait, cursor=self.cursor) - myTrait.retrieveInfo() + #XZ, 09/18/2008: get all information about the user selected database. + target_db_name = fd.formdata.getvalue('database') + self.target_db_name = target_db_name - # We will not get Literature Correlations if there is no GeneId because there is nothing to look against try: - input_trait_GeneId = int(fd.formdata.getvalue('GeneId')) + self.db = webqtlDataset(target_db_name, self.cursor) except: - input_trait_GeneId = None + detail = ["The database you just requested has not been established yet."] + self.error(detail) + return - # We will not get Tissue Correlations if there is no gene symbol because there is nothing to look against + # Auth if needed try: - input_trait_symbol = myTrait.symbol - except: - input_trait_symbol = None - - - #XZ, 12/12/2008: if the species is rat or human, translate the geneid to mouse geneid - input_trait_mouse_geneid = self.translateToMouseGeneID(species, input_trait_GeneId) - - - #XZ: As of Nov/13/2010, this dataset is 'UTHSC Illumina V6.2 RankInv B6 D2 average CNS GI average (May 08)' - TissueProbeSetFreezeId = 1 - - #XZ, 09/22/2008: If we need search by GeneId, - #XZ, 09/22/2008: we have to check if this GeneId is in the literature or tissue correlation table. - #XZ, 10/15/2008: We also to check if the selected database is probeset type. - if self.method == "3" or self.method == "4" or self.method == "5": - if self.db.type != "ProbeSet": - self.error(heading="Wrong correlation type",detail="It is not possible to compute the %s between your trait and data in this %s database. Please try again after selecting another type of correlation." % (methodDict[self.method],self.db.name),error="Correlation Type Error") - return - - """ - if not input_trait_GeneId: - self.error(heading="No Associated GeneId",detail="This trait has no associated GeneId, so we are not able to show any literature or tissue related information.",error="No GeneId Error") - return - """ - - #XZ: We have checked geneid did exist - - if self.method == "3": - if not input_trait_GeneId or not self.checkForLitInfo(input_trait_mouse_geneid): - self.error(heading="No Literature Info",detail="This gene does not have any associated Literature Information.",error="Literature Correlation Error") - return - - if self.method == "4" or self.method == "5": - if not input_trait_symbol: - self.error(heading="No Tissue Correlation Information",detail="This gene does not have any associated Tissue Correlation Information.",error="Tissue Correlation Error") - return - - if not self.checkSymbolForTissueCorr(TissueProbeSetFreezeId, myTrait.symbol): - self.error(heading="No Tissue Correlation Information",detail="This gene does not have any associated Tissue Correlation Information.",error="Tissue Correlation Error") - return - -############################################################################################################################################ - - allcorrelations = [] - nnCorr = len(_vals) - - #XZ: Use the fast method only for probeset dataset, and this dataset must have been created. - #XZ: Otherwise, use original method - - useFastMethod = False - - if self.db.type == "ProbeSet": - - DatabaseFileName = self.getFileName( target_db_name=self.target_db_name ) - DirectoryList = os.listdir(webqtlConfig.TEXTDIR) ### List of existing text files. Used to check if a text file already exists - - if DatabaseFileName in DirectoryList: - useFastMethod = True - - if useFastMethod: - if 1: - #try: - useLit = False - if self.method == "3": - litCorrs = self.fetchLitCorrelations(species=species, GeneId=input_trait_GeneId, db=self.db, returnNumber=self.returnNumber) - useLit = True - - useTissueCorr = False - if self.method == "4" or self.method == "5": - tissueCorrs = self.fetchTissueCorrelations(db=self.db, primaryTraitSymbol=input_trait_symbol, TissueProbeSetFreezeId=TissueProbeSetFreezeId, method=self.method, returnNumber = self.returnNumber) - useTissueCorr = True - - datasetFile = open(webqtlConfig.TEXTDIR+DatabaseFileName,'r') - - #XZ, 01/08/2009: read the first line - line = datasetFile.readline() - dataset_strains = webqtlUtil.readLineCSV(line)[1:] - - #XZ, 01/08/2009: This step is critical. It is necessary for this new method. - #XZ: The original function fetchAllDatabaseData uses all strains stored in variable _strains to - #XZ: retrieve the values of each strain from database in real time. - #XZ: The new method uses all strains stored in variable dataset_strains to create a new variable - #XZ: _newvals. _newvals has the same length as dataset_strains. The items in _newvals is in - #XZ: the same order of items in dataset_strains. The value of each item in _newvals is either - #XZ: the value of correspinding strain in _vals or 'None'. - _newvals = [] - for item in dataset_strains: - if item in _strains: - _newvals.append(_vals[_strains.index(item)]) - else: - _newvals.append('None') - - nnCorr = len(_newvals) - - #XZ, 01/14/2009: If literature corr or tissue corr is selected, - #XZ: there is no need to use parallel computing. - if useLit or useTissueCorr: - for line in datasetFile: - traitdata=webqtlUtil.readLineCSV(line) - traitdataName = traitdata[0] - traitvals = traitdata[1:] - - if useLit: - if not litCorrs.has_key( traitdataName ): - continue - - if useTissueCorr: - if not tissueCorrs.has_key( traitdataName ): - continue - - if self.method == "3" or self.method == "4": - corr,nOverlap = webqtlUtil.calCorrelationText(traitvals,_newvals,nnCorr) - else: - corr,nOverlap = webqtlUtil.calCorrelationRankText(traitvals,_newvals,nnCorr) - - traitinfo = [traitdataName,corr,nOverlap] - - if useLit: - traitinfo.append(litCorrs[traitdataName]) - - if useTissueCorr: - tempCorr, tempPValue = tissueCorrs[traitdataName] - traitinfo.append(tempCorr) - traitinfo.append(tempPValue) - - allcorrelations.append(traitinfo) - #XZ, 01/14/2009: If genetic corr is selected, use parallel computing - else: - input_line_list = datasetFile.readlines() - all_line_number = len(input_line_list) - - step = 1000 - job_number = math.ceil( float(all_line_number)/step ) - - job_input_lists = [] - - for job_index in range( int(job_number) ): - starti = job_index*step - endi = min((job_index+1)*step, all_line_number) - - one_job_input_list = [] - - for i in range( starti, endi ): - one_job_input_list.append( input_line_list[i] ) - - job_input_lists.append( one_job_input_list ) - - ppservers = () - # Creates jobserver with automatically detected number of workers - job_server = pp.Server(ppservers=ppservers) - - jobs = [] - results = [] - - for one_job_input_list in job_input_lists: #pay attention to modules from outside - jobs.append( job_server.submit(func=compute_corr, args=(nnCorr, _newvals, one_job_input_list, self.method), depfuncs=(), modules=("utility.webqtlUtil",)) ) - - for one_job in jobs: - one_result = one_job() - results.append( one_result ) - - for one_result in results: - for one_traitinfo in one_result: - allcorrelations.append( one_traitinfo ) - - datasetFile.close() - totalTraits = len(allcorrelations) - #except: - # useFastMethod = False - # self.error(heading="No computation method",detail="Something is wrong within the try except block in CorrelationPage python module.",error="Computation Error") - # return - - #XZ, 01/08/2009: use the original method to retrieve from database and compute. - if not useFastMethod: - - traitdatabase, dataStartPos = self.fetchAllDatabaseData(species=species, GeneId=input_trait_GeneId, GeneSymbol=input_trait_symbol, strains=_strains, db=self.db, method=self.method, returnNumber=self.returnNumber, tissueProbeSetFreezeId=TissueProbeSetFreezeId) - - totalTraits = len(traitdatabase) #XZ, 09/18/2008: total trait number - - for traitdata in traitdatabase: - traitdataName = traitdata[0] - traitvals = traitdata[dataStartPos:] - if self.method == "1" or self.method == "3" or self.method == "4": - corr,nOverlap = webqtlUtil.calCorrelation(traitvals,_vals,nnCorr) - else: - corr,nOverlap = webqtlUtil.calCorrelationRank(traitvals,_vals,nnCorr) - - traitinfo = [traitdataName,corr,nOverlap] - - #XZ, 09/28/2008: if user select '3', then fetchAllDatabaseData would give us LitCorr in the [1] position - #XZ, 09/28/2008: if user select '4' or '5', then fetchAllDatabaseData would give us Tissue Corr in the [1] position - #XZ, 09/28/2008: and Tissue Corr P Value in the [2] position - if input_trait_GeneId and self.db.type == "ProbeSet": - if self.method == "3": - traitinfo.append( traitdata[1] ) - if self.method == "4" or self.method == "5": - traitinfo.append( traitdata[1] ) - traitinfo.append( traitdata[2] ) - - allcorrelations.append(traitinfo) + auth_user_for_db(self.db, self.cursor, target_db_name, self.privilege, self.userName) + except AuthException, e: + detail = [e.message] + return self.error(detail) + #XZ, 09/18/2008: filter out the strains that have no value. + self.sample_names, vals, vars, N = fd.informativeStrains(sample_list) -############################################################# + #CF - If less than a minimum number of strains/cases in common, don't calculate anything + if len(self.sample_names) < self.corrMinInformative: + detail = ['Fewer than %d strain data were entered for %s data set. No calculation of correlation has been attempted.' % (self.corrMinInformative, fd.RISet)] + self.error(heading=PAGE_HEADING,detail=detail) - if self.method == "3" and input_trait_GeneId: - allcorrelations.sort(webqtlUtil.cmpLitCorr) - #XZ, 3/31/2010: Theoretically, we should create one function 'comTissueCorr' - #to compare each trait by their tissue corr p values. - #But because the tissue corr p values are generated by permutation test, - #the top ones always have p value 0. So comparing p values actually does nothing. - #In addition, for the tissue data in our database, the N is always the same. - #So it's safe to compare with tissue corr statistic value. - #That's the same as literature corr. - elif self.method in ["4","5"] and input_trait_GeneId: - allcorrelations.sort(webqtlUtil.cmpLitCorr) - else: - allcorrelations.sort(webqtlUtil.cmpCorr) + self.method = get_correlation_method_key(fd) + correlation_method = self.CORRELATION_METHODS[self.method] + rankOrder = self.RANK_ORDERS[self.method] - #XZ, 09/20/2008: we only need the top ones. - self.returnNumber = min(self.returnNumber,len(allcorrelations)) - allcorrelations = allcorrelations[:self.returnNumber] + # CF - Number of results returned + self.returnNumber = int(fd.formdata.getvalue('criteria')) - addLiteratureCorr = False - addTissueCorr = False + self.record_count = 0 - traitList = [] - for item in allcorrelations: - thisTrait = webqtlTrait(db=self.db, name=item[0], cursor=self.cursor) - thisTrait.retrieveInfo( QTL='Yes' ) + myTrait = get_custom_trait(fd, self.cursor) - nOverlap = item[2] - corr = item[1] - #XZ: calculate corrPValue - if nOverlap < 3: - corrPValue = 1.0 - else: - if abs(corr) >= 1.0: - corrPValue = 0.0 - else: - ZValue = 0.5*log((1.0+corr)/(1.0-corr)) - ZValue = ZValue*sqrt(nOverlap-3) - corrPValue = 2.0*(1.0 - reaper.normp(abs(ZValue))) - - thisTrait.Name = item[0] - thisTrait.corr = corr - thisTrait.nOverlap = nOverlap - thisTrait.corrPValue = corrPValue - # NL, 07/19/2010 - # js function changed, add a new parameter rankOrder for js function 'showTissueCorrPlot' - rankOrder = 0; - if self.method in ["2","5"]: - rankOrder = 1; - thisTrait.rankOrder =rankOrder - - #XZ, 26/09/2008: Method is 4 or 5. Have fetched tissue corr, but no literature correlation yet. - if len(item) == 5: - thisTrait.tissueCorr = item[3] - thisTrait.tissuePValue = item[4] - addLiteratureCorr = True + # We will not get Literature Correlations if there is no GeneId because there is nothing to look against + self.gene_id = int(fd.formdata.getvalue('GeneId') or 0) - #XZ, 26/09/2008: Method is 3, Have fetched literature corr, but no tissue corr yet. - elif len(item) == 4: - thisTrait.LCorr = item[3] - thisTrait.mouse_geneid = self.translateToMouseGeneID(species, thisTrait.geneid) - addTissueCorr = True + # We will not get Tissue Correlations if there is no gene symbol because there is nothing to look against + self.trait_symbol = myTrait.symbol + - #XZ, 26/09/2008: Method is 1 or 2. Have NOT fetched literature corr and tissue corr yet. - # Phenotype data will not have geneid, and neither will some probes - # we need to handle this because we will get an attribute error - else: - if input_trait_mouse_geneid and self.db.type=="ProbeSet": - addLiteratureCorr = True - if input_trait_symbol and self.db.type=="ProbeSet": - addTissueCorr = True + #XZ, 12/12/2008: if the species is rat or human, translate the geneid to mouse geneid + self.input_trait_mouse_gene_id = self.translateToMouseGeneID(self.species, self.gene_id) - traitList.append(thisTrait) + #XZ: As of Nov/13/2010, this dataset is 'UTHSC Illumina V6.2 RankInv B6 D2 average CNS GI average (May 08)' + self.tissue_probeset_freeze_id = 1 - if addLiteratureCorr: - traitList = self.getLiteratureCorrelationByList(input_trait_mouse_geneid, species, traitList) - if addTissueCorr: - traitList = self.getTissueCorrelationByList( primaryTraitSymbol=input_trait_symbol, traitList=traitList,TissueProbeSetFreezeId =TissueProbeSetFreezeId, method=self.method) + traitList = self.correlate(vals) + + _log.info("Done doing correlation calculation") -######################################################## +############################################################################################################################################ TD_LR = HT.TD(height=200,width="100%",bgColor='#eeeeee') mainfmName = webqtlUtil.genRandStr("fm_") form = HT.Form(cgi= os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), enctype='multipart/form-data', name= mainfmName, submit=HT.Input(type='hidden')) - hddn = {'FormID':'showDatabase', 'ProbeSetID':'_','database':self.target_db_name, 'databaseFull':self.db.fullname, 'CellID':'_', 'RISet':RISet, 'identification':fd.identification} + hddn = {'FormID': 'showDatabase', + 'ProbeSetID': '_', + 'database': self.target_db_name, + 'databaseFull': self.db.fullname, + 'CellID': '_', + 'RISet': fd.RISet, + 'identification': fd.identification} if myTrait: hddn['fullname']=fd.formdata.getvalue('fullname') - if mdpchoice: - hddn['MDPChoice']=mdpchoice + if mdp_choice: + hddn['MDPChoice']=mdp_choice #XZ, 09/18/2008: pass the trait data to next page by hidden parameters. @@ -510,13 +390,13 @@ class CorrelationPage(templatePage): #XZ, 3/11/2010: add one parameter to record if the method is rank order. form.append(HT.Input(name="rankOrder", value="%s" % rankOrder, type='hidden')) - form.append(HT.Input(name="TissueProbeSetFreezeId", value="%s" % TissueProbeSetFreezeId, type='hidden')) + form.append(HT.Input(name="TissueProbeSetFreezeId", value="%s" % self.tissue_probeset_freeze_id, type='hidden')) #################################### # generate the info on top of page # #################################### - info = self.getTopInfo(myTrait=myTrait, method=self.method, db=self.db, target_db_name=self.target_db_name, returnNumber=self.returnNumber, methodDict=methodDict, totalTraits=totalTraits, identification=fd.identification ) + info = self.getTopInfo(myTrait=myTrait, method=self.method, db=self.db, target_db_name=self.target_db_name, returnNumber=self.returnNumber, methodDict=self.CORRELATION_METHODS, totalTraits=traitList, identification=fd.identification ) ############## # Excel file # @@ -536,7 +416,7 @@ class CorrelationPage(templatePage): ##################################################################### - + #Select All, Deselect All, Invert Selection, Add to Collection mintmap = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'showIntMap');" % mainfmName) mintmap_img = HT.Image("/images/multiple_interval_mapping1_final.jpg", name='mintmap', alt="Multiple Interval Mapping", title="Multiple Interval Mapping", style="border:none;") mintmap.append(mintmap_img) @@ -555,10 +435,10 @@ class CorrelationPage(templatePage): partialCorr = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'partialCorrInput');" % mainfmName) partialCorr_img = HT.Image("/images/partial_correlation_final.jpg", name='partialCorr', alt="Partial Correlation", title="Partial Correlation", style="border:none;") partialCorr.append(partialCorr_img) - addselect = HT.Href(url="#redirect", onClick="addRmvSelection('%s', document.getElementsByName('%s')[0], 'addToSelection');" % (RISet, mainfmName)) + addselect = HT.Href(url="#redirect", onClick="addRmvSelection('%s', document.getElementsByName('%s')[0], 'addToSelection');" % (fd.RISet, mainfmName)) addselect_img = HT.Image("/images/add_collection1_final.jpg", name="addselect", alt="Add To Collection", title="Add To Collection", style="border:none;") addselect.append(addselect_img) - selectall = HT.Href(url="#redirect", onClick="checkAll(document.getElementsByName('%s')[0]);" % mainfmName) + selectall = HT.Href(url="#redirect", onClick="checkAll(document.getElementsByName('%s')[0]);" % mainfmName) selectall_img = HT.Image("/images/select_all2_final.jpg", name="selectall", alt="Select All", title="Select All", style="border:none;") selectall.append(selectall_img) selectinvert = HT.Href(url="#redirect", onClick = "checkInvert(document.getElementsByName('%s')[0]);" % mainfmName) @@ -575,20 +455,90 @@ class CorrelationPage(templatePage): selectandor.append(('OR','or')) selectandor.selected.append('AND') - pageTable = HT.TableLite(cellSpacing=0,cellPadding=0,width="100%", border=0, align="Left") - containerTable = HT.TableLite(cellSpacing=0,cellPadding=0,width="90%",border=0, align="Left") + #External analysis tools + GCATButton = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'GCAT');" % mainfmName) + GCATButton_img = HT.Image("/images/GCAT_logo_final.jpg", name="GCAT", alt="GCAT", title="GCAT", style="border:none") + GCATButton.append(GCATButton_img) + + ODE = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'ODE');" % mainfmName) + ODE_img = HT.Image("/images/ODE_logo_final.jpg", name="ode", alt="ODE", title="ODE", style="border:none") + ODE.append(ODE_img) + + ''' + #XZ, 07/07/2010: I comment out this block of code. + WebGestaltScript = HT.Script(language="Javascript") + WebGestaltScript.append(""" +setTimeout('openWebGestalt()', 2000); +function openWebGestalt(){ +var thisForm = document['WebGestalt']; +makeWebGestaltTree(thisForm, '%s', %d, 'edag_only.php'); +} + """ % (mainfmName, len(traitList))) + ''' + + self.cursor.execute('SELECT GeneChip.GO_tree_value FROM GeneChip, ProbeFreeze, ProbeSetFreeze WHERE GeneChip.Id = ProbeFreeze.ChipId and ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and ProbeSetFreeze.Name = "%s"' % self.db.name) + result = self.cursor.fetchone() + + if result: + GO_tree_value = result[0] + + if GO_tree_value: + + WebGestalt = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'GOTree');" % mainfmName) + WebGestalt_img = HT.Image("/images/webgestalt_icon_final.jpg", name="webgestalt", alt="Gene Set Analysis Toolkit", title="Gene Set Analysis Toolkit", style="border:none") + WebGestalt.append(WebGestalt_img) + + hddnWebGestalt = { + 'id_list':'', + 'correlation':'', + 'id_value':'', + 'llid_list':'', + 'id_type':GO_tree_value, + 'idtype':'', + 'species':'', + 'list':'', + 'client':''} + + hddnWebGestalt['ref_type'] = hddnWebGestalt['id_type'] + hddnWebGestalt['cat_type'] = 'GO' + hddnWebGestalt['significancelevel'] = 'Top10' + + if self.species == 'rat': + hddnWebGestalt['org'] = 'Rattus norvegicus' + elif self.species == 'human': + hddnWebGestalt['org'] = 'Homo sapiens' + elif self.species == 'mouse': + hddnWebGestalt['org'] = 'Mus musculus' + else: + hddnWebGestalt['org'] = '' + + for key in hddnWebGestalt.keys(): + form.append(HT.Input(name=key, value=hddnWebGestalt[key], type='hidden')) + - optionsTable = HT.TableLite(cellSpacing=2, cellPadding=0,width="320", height="80", border=0, align="Left") - optionsTable.append(HT.TR(HT.TD(selectall), HT.TD(reset), HT.TD(selectinvert), HT.TD(addselect), align="left")) - optionsTable.append(HT.TR(HT.TD(" "*1,"Select"), HT.TD("Deselect"), HT.TD(" "*1,"Invert"), HT.TD(" "*3,"Add"))) + #Create tables with options, etc + + pageTable = HT.TableLite(cellSpacing=0,cellPadding=0,width="100%", border=0, align="Left") + + containerTable = HT.TableLite(cellSpacing=0,cellPadding=0,width="90%",border=0, align="Left") + + + if not GO_tree_value: + optionsTable = HT.TableLite(cellSpacing=2, cellPadding=0,width="480", height="80", border=0, align="Left") + optionsTable.append(HT.TR(HT.TD(selectall), HT.TD(reset), HT.TD(selectinvert), HT.TD(addselect), HT.TD(GCATButton), HT.TD(ODE), align="left")) + optionsTable.append(HT.TR(HT.TD(" "*1,"Select"), HT.TD("Deselect"), HT.TD(" "*1,"Invert"), HT.TD(" "*3,"Add"), HT.TD("Gene Set"), HT.TD(" "*2,"GCAT"))) + else: + optionsTable = HT.TableLite(cellSpacing=2, cellPadding=0,width="560", height="80", border=0, align="Left") + optionsTable.append(HT.TR(HT.TD(selectall), HT.TD(reset), HT.TD(selectinvert), HT.TD(addselect), HT.TD(GCATButton), HT.TD(ODE), HT.TD(WebGestalt), align="left")) + optionsTable.append(HT.TR(HT.TD(" "*1,"Select"), HT.TD("Deselect"), HT.TD(" "*1,"Invert"), HT.TD(" "*3,"Add"), HT.TD("Gene Set"), HT.TD(" "*2,"GCAT"), HT.TD(" "*3, "ODE"))) containerTable.append(HT.TR(HT.TD(optionsTable))) functionTable = HT.TableLite(cellSpacing=2,cellPadding=0,width="480",height="80", border=0, align="Left") functionRow = HT.TR(HT.TD(networkGraph, width="16.7%"), HT.TD(cormatrix, width="16.7%"), HT.TD(partialCorr, width="16.7%"), HT.TD(mcorr, width="16.7%"), HT.TD(mintmap, width="16.7%"), HT.TD(heatmap), align="left") labelRow = HT.TR(HT.TD(" "*1,HT.Text("Graph")), HT.TD(" "*1,HT.Text("Matrix")), HT.TD(" "*1,HT.Text("Partial")), HT.TD(HT.Text("Compare")), HT.TD(HT.Text("QTL Map")), HT.TD(HT.Text(text="Heat Map"))) functionTable.append(functionRow, labelRow) - containerTable.append(HT.TR(HT.TD(functionTable), HT.BR())) + containerTable.append(HT.TR(HT.TD(functionTable), HT.BR())) #more_options = HT.Image("/images/more_options1_final.jpg", name='more_options', alt="Expand Options", title="Expand Options", style="border:none;", Class="toggleShowHide") @@ -597,12 +547,14 @@ class CorrelationPage(templatePage): moreOptions = HT.Input(type='button',name='options',value='More Options', onClick="",Class="toggle") fewerOptions = HT.Input(type='button',name='options',value='Fewer Options', onClick="",Class="toggle") + """ if (fd.formdata.getvalue('showHideOptions') == 'less'): - containerTable.append(HT.TR(HT.TD(" "), height="10"), HT.TR(HT.TD(HT.Div(fewerOptions, Class="toggleShowHide")))) - containerTable.append(HT.TR(HT.TD(" "))) + containerTable.append(HT.TR(HT.TD(" "), height="10"), HT.TR(HT.TD(HT.Div(fewerOptions, Class="toggleShowHide")))) + containerTable.append(HT.TR(HT.TD(" "))) else: - containerTable.append(HT.TR(HT.TD(" "), height="10"), HT.TR(HT.TD(HT.Div(moreOptions, Class="toggleShowHide")))) - containerTable.append(HT.TR(HT.TD(" "))) + containerTable.append(HT.TR(HT.TD(" "), height="10"), HT.TR(HT.TD(HT.Div(moreOptions, Class="toggleShowHide")))) + containerTable.append(HT.TR(HT.TD(" "))) + """ containerTable.append(HT.TR(HT.TD(HT.Span(selecttraits,' with r > ',selectgt, ' ',selectandor, ' r < ',selectlt,Class="bd1 cbddf fs11")), style="display:none;", Class="extra_options")) @@ -615,9 +567,9 @@ class CorrelationPage(templatePage): if self.db.type=="Geno": - containerTable.append(HT.TR(HT.TD(xlsUrl, height=40))) + containerTable.append(HT.TR(HT.TD(xlsUrl, height=60))) - pageTable.append(HT.TR(HT.TD(containerTable))) + pageTable.append(HT.TR(HT.TD(containerTable))) tblobj['header'], worksheet = self.getTableHeaderForGeno( method=self.method, worksheet=worksheet, newrow=newrow, headingStyle=headingStyle) newrow += 1 @@ -636,9 +588,9 @@ class CorrelationPage(templatePage): div = HT.Div(webqtlUtil.genTableObj(tblobj=tblobj, file=filename, sortby=sortby, tableID = "sortable", addIndex = "1"), corrScript, Id="sortable") - pageTable.append(HT.TR(HT.TD(div))) + pageTable.append(HT.TR(HT.TD(div))) - form.append(HT.Input(name='ShowStrains',type='hidden', value =1), + form.append(HT.Input(name='ShowStrains',type='hidden', value =1), HT.Input(name='ShowLine',type='hidden', value =1), HT.P(), HT.P(), pageTable) TD_LR.append(corrHeading, info, form, HT.P()) @@ -649,9 +601,9 @@ class CorrelationPage(templatePage): elif self.db.type=="Publish": - containerTable.append(HT.TR(HT.TD(xlsUrl, height=40))) + containerTable.append(HT.TR(HT.TD(xlsUrl, height=40))) - pageTable.append(HT.TR(HT.TD(containerTable))) + pageTable.append(HT.TR(HT.TD(containerTable))) tblobj['header'], worksheet = self.getTableHeaderForPublish(method=self.method, worksheet=worksheet, newrow=newrow, headingStyle=headingStyle) newrow += 1 @@ -661,7 +613,7 @@ class CorrelationPage(templatePage): corrScript = HT.Script(language="Javascript") corrScript.append("var corrArray = new Array();") - tblobj['body'], worksheet, corrScript = self.getTableBodyForPublish(traitList=traitList, formName=mainfmName, worksheet=worksheet, newrow=newrow, corrScript=corrScript, species=species) + tblobj['body'], worksheet, corrScript = self.getTableBodyForPublish(traitList=traitList, formName=mainfmName, worksheet=worksheet, newrow=newrow, corrScript=corrScript, species=self.species) workbook.close() @@ -671,7 +623,7 @@ class CorrelationPage(templatePage): # NL, 07/27/2010. genTableObj function has been moved from templatePage.py to webqtlUtil.py; div = HT.Div(webqtlUtil.genTableObj(tblobj=tblobj, file=filename, sortby=sortby, tableID = "sortable", addIndex = "1"), corrScript, Id="sortable") - pageTable.append(HT.TR(HT.TD(div))) + pageTable.append(HT.TR(HT.TD(div))) form.append( HT.Input(name='ShowStrains',type='hidden', value =1), @@ -685,7 +637,6 @@ class CorrelationPage(templatePage): elif self.db.type=="ProbeSet": - tblobj['header'], worksheet = self.getTableHeaderForProbeSet(method=self.method, worksheet=worksheet, newrow=newrow, headingStyle=headingStyle) newrow += 1 @@ -694,7 +645,7 @@ class CorrelationPage(templatePage): corrScript = HT.Script(language="Javascript") corrScript.append("var corrArray = new Array();") - tblobj['body'], worksheet, corrScript = self.getTableBodyForProbeSet(traitList=traitList, primaryTrait=myTrait, formName=mainfmName, worksheet=worksheet, newrow=newrow, corrScript=corrScript, species=species) + tblobj['body'], worksheet, corrScript = self.getTableBodyForProbeSet(traitList=traitList, primaryTrait=myTrait, formName=mainfmName, worksheet=worksheet, newrow=newrow, corrScript=corrScript, species=self.species) workbook.close() objfile = open('%s.obj' % (webqtlConfig.TMPDIR+filename), 'wb') @@ -741,95 +692,21 @@ class CorrelationPage(templatePage): #updated by NL. Delete function generateJavaScript, move js files to dhtml.js, webqtl.js and jqueryFunction.js #variables: filename, strainIds and vals are required by getquerystring function - strainIds=self.getStrainIds(species=species, strains=_strains) + strainIds=self.getStrainIds(species=self.species, strains=self.sample_names) var1 = HT.Input(name="filename", value=filename, type='hidden') var2 = HT.Input(name="strainIds", value=strainIds, type='hidden') - var3 = HT.Input(name="vals", value=_vals, type='hidden') + var3 = HT.Input(name="vals", value=vals, type='hidden') customizerButton = HT.Input(type="button", Class="button", value="Add Correlation", onClick = "xmlhttpPost('%smain.py?FormID=AJAX_table', 'sortable', (getquerystring(this.form)))" % webqtlConfig.CGIDIR) containerTable.append(HT.TR(HT.TD(HT.Span(var1,var2,var3,customizerButton, "with", dbCustomizer, Class="bd1 cbddf fs11"), HT.BR(), HT.BR()), style="display:none;", Class="extra_options")) - #outside analysis part - GCATButton = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'GCAT');" % mainfmName) - GCATButton_img = HT.Image("/images/GCAT_logo_final.jpg", name="GCAT", alt="GCAT", title="GCAT", style="border:none") - GCATButton.append(GCATButton_img) - - ODE = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'ODE');" % mainfmName) - ODE_img = HT.Image("/images/ODE_logo_final.jpg", name="ode", alt="ODE", title="ODE", style="border:none") - ODE.append(ODE_img) + containerTable.append(HT.TR(HT.TD(xlsUrl, HT.BR(), HT.BR()))) - ''' - #XZ, 07/07/2010: I comment out this block of code. - WebGestaltScript = HT.Script(language="Javascript") - WebGestaltScript.append(""" -setTimeout('openWebGestalt()', 2000); -function openWebGestalt(){ - var thisForm = document['WebGestalt']; - makeWebGestaltTree(thisForm, '%s', %d, 'edag_only.php'); -} - """ % (mainfmName, len(traitList))) - ''' - - self.cursor.execute('SELECT GeneChip.GO_tree_value FROM GeneChip, ProbeFreeze, ProbeSetFreeze WHERE GeneChip.Id = ProbeFreeze.ChipId and ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and ProbeSetFreeze.Name = "%s"' % self.db.name) - result = self.cursor.fetchone() + pageTable.append(HT.TR(HT.TD(containerTable))) - if result: - GO_tree_value = result[0] + pageTable.append(HT.TR(HT.TD(div))) - if GO_tree_value: - - WebGestalt = HT.Href(url="#redirect", onClick="databaseFunc(document.getElementsByName('%s')[0], 'GOTree');" % mainfmName) - WebGestalt_img = HT.Image("/images/webgestalt_icon_final.jpg", name="webgestalt", alt="Gene Set Analysis Toolkit", title="Gene Set Analysis Toolkit", style="border:none") - WebGestalt.append(WebGestalt_img) - - hddnWebGestalt = { - 'id_list':'', - 'correlation':'', - 'id_value':'', - 'llid_list':'', - 'id_type':GO_tree_value, - 'idtype':'', - 'species':'', - 'list':'', - 'client':''} - - hddnWebGestalt['ref_type'] = hddnWebGestalt['id_type'] - hddnWebGestalt['cat_type'] = 'GO' - hddnWebGestalt['significancelevel'] = 'Top10' - - if species == 'rat': - hddnWebGestalt['org'] = 'Rattus norvegicus' - elif species == 'human': - hddnWebGestalt['org'] = 'Homo sapiens' - elif species == 'mouse': - hddnWebGestalt['org'] = 'Mus musculus' - else: - hddnWebGestalt['org'] = '' - - for key in hddnWebGestalt.keys(): - form.append(HT.Input(name=key, value=hddnWebGestalt[key], type='hidden')) - - - LinkOutTable = HT.TableLite(cellSpacing=2,cellPadding=0,width="320",height="80", border=0, align="Left") - - if not GO_tree_value: - LinkOutRow = HT.TR(HT.TD(GCATButton, width="50%"), HT.TD(ODE, width="50%"), align="left") - LinkOutLabels = HT.TR(HT.TD(" ", HT.Text("GCAT"), width="50%"), HT.TD(" ",HT.Text("ODE"), width="50%"), align="left") - else: - LinkOutRow = HT.TR(HT.TD(WebGestalt, width="25%"), HT.TD(GCATButton, width="25%"), HT.TD(ODE, width="25%"), align="left") - LinkOutLabels = HT.TR(HT.TD(HT.Text("Gene Set")), HT.TD(" "*2, HT.Text("GCAT")), HT.TD(" "*3, HT.Text("ODE")), style="display:none;", Class="extra_options") - - LinkOutTable.append(LinkOutRow,LinkOutLabels) - - containerTable.append(HT.TR(HT.TD(LinkOutTable), Class="extra_options", style="display:none;")) - - containerTable.append(HT.TR(HT.TD(xlsUrl, HT.BR(), HT.BR()))) - - pageTable.append(HT.TR(HT.TD(containerTable))) - - pageTable.append(HT.TR(HT.TD(div))) - - if species == 'human': + if self.species == 'human': heatmap = "" form.append(HT.Input(name='ShowStrains',type='hidden', value =1), @@ -1009,7 +886,7 @@ Resorting this table <br> tempTable = self.getTempLiteratureTable(species=species, input_species_geneid=GeneId, returnNumber=returnNumber) if method == "4" or method == "5": - tempTable = self.getTempTissueCorrTable(primaryTraitSymbol=GeneSymbol, TissueProbeSetFreezeId=tissueProbeSetFreezeId, method=method, returnNumber=returnNumber) + tempTable = self.getTempTissueCorrTable(primaryTraitSymbol=GeneSymbol, TissueProbeSetFreezeId=TISSUE_MOUSE_DB, method=method, returnNumber=returnNumber) for step in range(nnn): temp = [] @@ -1068,18 +945,30 @@ Resorting this table <br> oridata.append(results) datasize = len(oridata[0]) - traitdatabase = [] - # put all of the seperate data together into a huge list of lists + traits = [] + # put all of the separate data together into a huge list of lists for j in range(datasize): traitdata = list(oridata[0][j]) for i in range(1,nnn): traitdata += list(oridata[i][j][dataStartPos:]) - traitdatabase.append(traitdata) + + trait = Trait(traitdata[0], traitdata[dataStartPos:]) + + if method == METHOD_LIT: + trait.lit_corr = traitdata[1] + + if method in TISSUE_METHODS: + trait.tissue_corr = traitdata[1] + trait.p_tissue = traitdata[2] + + traits.append(trait) if tempTable: self.cursor.execute( 'DROP TEMPORARY TABLE %s' % tempTable ) - return traitdatabase, dataStartPos + return traits + + # XZ, 09/20/2008: This function creates TEMPORARY TABLE tmpTableName_2 and return its name. @@ -1159,7 +1048,7 @@ Resorting this table <br> except: return 0 - symbolCorrDict, symbolPvalueDict = self.calculateCorrOfAllTissueTrait(primaryTraitSymbol=primaryTraitSymbol, TissueProbeSetFreezeId=TissueProbeSetFreezeId, method=method) + symbolCorrDict, symbolPvalueDict = self.calculateCorrOfAllTissueTrait(primaryTraitSymbol=primaryTraitSymbol, TissueProbeSetFreezeId=TISSUE_MOUSE_DB, method=method) symbolCorrList = symbolCorrDict.items() @@ -1216,7 +1105,7 @@ Resorting this table <br> Returns a dictionary of 'TraitID':(tissueCorr, tissuePValue) for the requested correlation""" - tempTable = self.getTempTissueCorrTable(primaryTraitSymbol=primaryTraitSymbol, TissueProbeSetFreezeId=TissueProbeSetFreezeId, method=method, returnNumber=returnNumber) + tempTable = self.getTempTissueCorrTable(primaryTraitSymbol=primaryTraitSymbol, TissueProbeSetFreezeId=TISSUE_MOUSE_DB, method=method, returnNumber=returnNumber) query = "SELECT ProbeSet.Name, %s.Correlation, %s.PValue" % (tempTable, tempTable) query += ' FROM (ProbeSet, ProbeSetXRef, ProbeSetFreeze)' @@ -1276,6 +1165,225 @@ Resorting this table <br> return traitList + def get_trait(self, cached, vals): + + if cached: + _log.info("Using the fast method because the file exists") + lit_corrs = {} + tissue_corrs = {} + use_lit = False + if self.method == METHOD_LIT: + lit_corrs = self.fetchLitCorrelations(species=self.species, GeneId=self.gene_id, db=self.db, returnNumber=self.returnNumber) + use_lit = True + + use_tissue_corr = False + if self.method in TISSUE_METHODS: + tissue_corrs = self.fetchTissueCorrelations(db=self.db, primaryTraitSymbol=self.trait_symbol, TissueProbeSetFreezeId=TISSUE_MOUSE_DB, method=self.method, returnNumber = self.returnNumber) + use_tissue_corr = True + + DatabaseFileName = self.getFileName( target_db_name=self.target_db_name ) + datasetFile = open(webqtlConfig.TEXTDIR+DatabaseFileName,'r') + + #XZ, 01/08/2009: read the first line + line = datasetFile.readline() + cached_sample_names = webqtlUtil.readLineCSV(line)[1:] + + #XZ, 01/08/2009: This step is critical. It is necessary for this new method. + #XZ: The original function fetchAllDatabaseData uses all strains stored in variable _strains to + #XZ: retrieve the values of each strain from database in real time. + #XZ: The new method uses all strains stored in variable dataset_strains to create a new variable + #XZ: _newvals. _newvals has the same length as dataset_strains. The items in _newvals is in + #XZ: the same order of items in dataset_strains. The value of each item in _newvals is either + #XZ: the value of correspinding strain in _vals or 'None'. + new_vals = [] + for name in cached_sample_names: + if name in self.sample_names: + new_vals.append(float(vals[self.sample_names.index(name)])) + else: + new_vals.append('None') + + nnCorr = len(new_vals) + + #XZ, 01/14/2009: If literature corr or tissue corr is selected, + #XZ: there is no need to use parallel computing. + + traits = [] + data_start = 1 + for line in datasetFile: + raw_trait = webqtlUtil.readLineCSV(line) + trait = Trait.from_csv(raw_trait, data_start) + trait.lit_corr = lit_corrs.get(trait.name) + trait.tissue_corr, trait.p_tissue = tissue_corrs.get(trait.name, (None, None)) + traits.append(trait) + + return traits, new_vals + + else: + _log.info("Using the slow method for correlation") + + _log.info("Fetching from database") + traits = self.fetchAllDatabaseData(species=self.species, GeneId=self.gene_id, GeneSymbol=self.trait_symbol, strains=self.sample_names, db=self.db, method=self.method, returnNumber=self.returnNumber, tissueProbeSetFreezeId= self.tissue_probeset_freeze_id) + _log.info("Done fetching from database") + totalTraits = len(traits) #XZ, 09/18/2008: total trait number + + return traits, vals + + + def do_parallel_correlation(self): + _log.info("Invoking parallel computing") + input_line_list = datasetFile.readlines() + _log.info("Read lines from the file") + all_line_number = len(input_line_list) + + step = 1000 + job_number = math.ceil( float(all_line_number)/step ) + + job_input_lists = [] + + _log.info("Configuring jobs") + + for job_index in range( int(job_number) ): + starti = job_index*step + endi = min((job_index+1)*step, all_line_number) + + one_job_input_list = [] + + for i in range( starti, endi ): + one_job_input_list.append( input_line_list[i] ) + + job_input_lists.append( one_job_input_list ) + + _log.info("Creating pp servers") + + ppservers = () + # Creates jobserver with automatically detected number of workers + job_server = pp.Server(ppservers=ppservers) + + _log.info("Done creating servers") + + jobs = [] + results = [] + + _log.info("Starting parallel computation, submitting jobs") + for one_job_input_list in job_input_lists: #pay attention to modules from outside + jobs.append( job_server.submit(func=compute_corr, args=(nnCorr, _newvals, one_job_input_list, self.method), depfuncs=(), modules=("utility.webqtlUtil",)) ) + _log.info("Done submitting jobs") + + for one_job in jobs: + one_result = one_job() + results.append( one_result ) + + _log.info("Acquiring results") + + for one_result in results: + for one_traitinfo in one_result: + allcorrelations.append( one_traitinfo ) + + _log.info("Appending the results") + + datasetFile.close() + totalTraits = len(allcorrelations) + _log.info("Done correlating using the fast method") + + + def correlate(self, vals): + + correlations = [] + + #XZ: Use the fast method only for probeset dataset, and this dataset must have been created. + #XZ: Otherwise, use original method + _log.info("Entering correlation") + + db_filename = self.getFileName( target_db_name=self.target_db_name ) + + cache_available = db_filename in os.listdir(webqtlConfig.TEXTDIR) + + # If the cache file exists, do a cached correlation for probeset data + if self.db.type == "ProbeSet": +# if self.method in [METHOD_SAMPLE_PEARSON, METHOD_SAMPLE_RANK] and cache_available: +# traits = do_parallel_correlation() +# +# else: + + (traits, vals) = self.get_trait(cache_available, vals) + + for trait in traits: + trait.calculate_correlation(vals, self.method) + + self.record_count = len(traits) #ZS: This isn't a good way to get this value, so I need to change it later + + #XZ, 3/31/2010: Theoretically, we should create one function 'comTissueCorr' + #to compare each trait by their tissue corr p values. + #But because the tissue corr p values are generated by permutation test, + #the top ones always have p value 0. So comparing p values actually does nothing. + #In addition, for the tissue data in our database, the N is always the same. + #So it's safe to compare with tissue corr statistic value. + #That's the same as literature corr. + #if self.method in [METHOD_LIT, METHOD_TISSUE_PEARSON, METHOD_TISSUE_RANK] and self.gene_id: + # traits.sort(webqtlUtil.cmpLitCorr) + #else: + #if self.method in TISSUE_METHODS: + # sort(traits, key=lambda A: math.fabs(A.tissue_corr)) + #elif self.method == METHOD_LIT: + # traits.sort(traits, key=lambda A: math.fabs(A.lit_corr)) + #else: + traits = sortTraitCorrelations(traits, self.method) + + # Strip to the top N correlations + traits = traits[:min(self.returnNumber, len(traits))] + + addLiteratureCorr = False + addTissueCorr = False + + trait_list = [] + for trait in traits: + db_trait = webqtlTrait(db=self.db, name=trait.name, cursor=self.cursor) + db_trait.retrieveInfo( QTL='Yes' ) + + db_trait.Name = trait.name + db_trait.corr = trait.correlation + db_trait.nOverlap = trait.overlap + db_trait.corrPValue = trait.p_value + + # NL, 07/19/2010 + # js function changed, add a new parameter rankOrder for js function 'showTissueCorrPlot' + db_trait.RANK_ORDER = self.RANK_ORDERS[self.method] + + #XZ, 26/09/2008: Method is 4 or 5. Have fetched tissue corr, but no literature correlation yet. + if self.method in TISSUE_METHODS: + db_trait.tissueCorr = trait.tissue_corr + db_trait.tissuePValue = trait.p_tissue + addTissueCorr = True + + + #XZ, 26/09/2008: Method is 3, Have fetched literature corr, but no tissue corr yet. + elif self.method == METHOD_LIT: + db_trait.LCorr = trait.lit_corr + db_trait.mouse_geneid = self.translateToMouseGeneID(self.species, db_trait.geneid) + addLiteratureCorr = True + + #XZ, 26/09/2008: Method is 1 or 2. Have NOT fetched literature corr and tissue corr yet. + # Phenotype data will not have geneid, and neither will some probes + # we need to handle this because we will get an attribute error + else: + if self.input_trait_mouse_gene_id and self.db.type=="ProbeSet": + addLiteratureCorr = True + if self.trait_symbol and self.db.type=="ProbeSet": + addTissueCorr = True + + trait_list.append(db_trait) + + if addLiteratureCorr: + trait_list = self.getLiteratureCorrelationByList(self.input_trait_mouse_gene_id, + self.species, trait_list) + if addTissueCorr: + trait_list = self.getTissueCorrelationByList( + primaryTraitSymbol = self.trait_symbol, + traitList = trait_list, + TissueProbeSetFreezeId = TISSUE_MOUSE_DB, + method=self.method) + + return trait_list def calculateCorrOfAllTissueTrait(self, primaryTraitSymbol=None, TissueProbeSetFreezeId=None, method=None): @@ -1283,10 +1391,10 @@ Resorting this table <br> symbolCorrDict = {} symbolPvalueDict = {} - primaryTraitSymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[primaryTraitSymbol], TissueProbeSetFreezeId=TissueProbeSetFreezeId) + primaryTraitSymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[primaryTraitSymbol], TissueProbeSetFreezeId=TISSUE_MOUSE_DB) primaryTraitValue = primaryTraitSymbolValueDict.values()[0] - SymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[], TissueProbeSetFreezeId=TissueProbeSetFreezeId) + SymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[], TissueProbeSetFreezeId=TISSUE_MOUSE_DB) if method in ["2","5"]: symbolCorrDict, symbolPvalueDict = correlationFunction.batchCalTissueCorr(primaryTraitValue,SymbolValueDict,method='spearman') @@ -1301,7 +1409,7 @@ Resorting this table <br> #XZ, 10/13/2010 def getTissueCorrelationByList(self, primaryTraitSymbol=None, traitList=None, TissueProbeSetFreezeId=None, method=None): - primaryTraitSymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[primaryTraitSymbol], TissueProbeSetFreezeId=TissueProbeSetFreezeId) + primaryTraitSymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=[primaryTraitSymbol], TissueProbeSetFreezeId=TISSUE_MOUSE_DB) if primaryTraitSymbol.lower() in primaryTraitSymbolValueDict: primaryTraitValue = primaryTraitSymbolValueDict[primaryTraitSymbol.lower()] @@ -1312,7 +1420,7 @@ Resorting this table <br> if hasattr(thisTrait, 'symbol'): geneSymbolList.append(thisTrait.symbol) - SymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=geneSymbolList, TissueProbeSetFreezeId=TissueProbeSetFreezeId) + SymbolValueDict = correlationFunction.getGeneSymbolTissueValueDictForTrait(cursor=self.cursor, GeneNameLst=geneSymbolList, TissueProbeSetFreezeId=TISSUE_MOUSE_DB) for thisTrait in traitList: if hasattr(thisTrait, 'symbol') and thisTrait.symbol and thisTrait.symbol.lower() in SymbolValueDict: @@ -1339,7 +1447,7 @@ Resorting this table <br> if myTrait: if method in ["1","2"]: #genetic correlation info = HT.Paragraph("Values of Record %s in the " % myTrait.getGivenName(), HT.Href(text=myTrait.db.fullname,url=webqtlConfig.INFOPAGEHREF % myTrait.db.name,target="_blank", Class="fwn"), - " database were compared to all %d records in the " % totalTraits, HT.Href(text=db.fullname,url=webqtlConfig.INFOPAGEHREF % target_db_name,target="_blank", Class="fwn"), + " database were compared to all %d records in the " % self.record_count, HT.Href(text=db.fullname,url=webqtlConfig.INFOPAGEHREF % target_db_name,target="_blank", Class="fwn"), ' database. The top %d correlations ranked by the %s are displayed.' % (returnNumber,methodDict[method]), ' You can resort this list using the small arrowheads in the top row.') else: @@ -1359,7 +1467,7 @@ Resorting this table <br> ' You can resort this list using the small arrowheads in the top row.' ) elif identification: - info = HT.Paragraph('Values of %s were compared to all %d traits in ' % (identification, totalTraits), + info = HT.Paragraph('Values of %s were compared to all %d traits in ' % (identification, self.record_count), HT.Href(text=db.fullname,url=webqtlConfig.INFOPAGEHREF % target_db_name,target="_blank",Class="fwn"), ' database. The TOP %d correlations ranked by the %s are displayed.' % (returnNumber,methodDict[method]), ' You can resort this list using the small arrowheads in the top row.') @@ -1934,7 +2042,7 @@ Resorting this table <br> TCorr = thisTrait.tissueCorr TCorrStr = "%2.3f" % thisTrait.tissueCorr # NL, 07/19/2010: add a new parameter rankOrder for js function 'showTissueCorrPlot' - rankOrder = thisTrait.rankOrder + rankOrder = self.RANK_ORDERS[self.method] TCorrPlotURL = "javascript:showTissueCorrPlot('%s','%s','%s',%d)" %(formName, primaryTrait.symbol, thisTrait.symbol,rankOrder) tr.append(TDCell(HT.TD(HT.Href(text=TCorrStr, url=TCorrPlotURL, Class="fs12 fwn ff1"), Class="fs12 fwn ff1 b1 c222", align='right'), TCorrStr, abs(TCorr))) else: diff --git a/web/webqtl/showTrait/DataEditingPage.py b/web/webqtl/showTrait/DataEditingPage.py index f38b9880..974b2ed5 100644..100755 --- a/web/webqtl/showTrait/DataEditingPage.py +++ b/web/webqtl/showTrait/DataEditingPage.py @@ -416,13 +416,15 @@ class DataEditingPage(templatePage): UTHSC_BLAT_URL = "" if UCSC_BLAT_URL: - verifyButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % UCSC_BLAT_URL) - verifyButtonImg = HT.Image("/images/verify_icon.jpg", name="addselect", alt=" Check probe locations at UCSC ", title=" Check probe locations at UCSC ", style="border:none;") + verifyButton = HT.Href(url="#") + verifyButtonImg = HT.Image("/images/verify_icon.jpg", name="verify", alt=" Check probe locations at UCSC ", + title=" Check probe locations at UCSC ", onClick="javascript:openNewWin('%s'); return false;" % UCSC_BLAT_URL, style="border:none;") verifyButton.append(verifyButtonImg) verifyText = 'Verify' if UTHSC_BLAT_URL: - rnaseqButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % UTHSC_BLAT_URL) - rnaseqButtonImg = HT.Image("/images/rnaseq_icon.jpg", name="addselect", alt=" View probes, SNPs, and RNA-seq at UTHSC ", title=" View probes, SNPs, and RNA-seq at UTHSC ", style="border:none;") + rnaseqButton = HT.Href(url="#") + rnaseqButtonImg = HT.Image("/images/rnaseq_icon.jpg", name="rnaseq", alt=" View probes, SNPs, and RNA-seq at UTHSC ", + title=" View probes, SNPs, and RNA-seq at UTHSC ", onClick="javascript:openNewWin('%s'); return false;" % UTHSC_BLAT_URL, style="border:none;") rnaseqButton.append(rnaseqButtonImg) rnaseqText = 'RNA-seq' tSpan.append(HT.BR()) @@ -590,10 +592,24 @@ class DataEditingPage(templatePage): url="http://string.embl.de/newstring_cgi/show_link_summary.pl?identifier=%s" \ % thisTrait.symbol,Class="fs14 fwn", \ title="Protein interactions: known and inferred"), style=linkStyle), " "*2) - if thisTrait.geneid: + if thisTrait.symbol: + #ZS: The "species scientific" converts the plain English species names we're using to their scientific names, which are needed for PANTHER's input + #We should probably use the scientific name along with the English name (if not instead of) elsewhere as well, given potential non-English speaking users + if _Species == "mouse": + species_scientific = "Mus%20musculus" + elif _Species == "rat": + species_scientific = "Rattus%20norvegicus" + elif _Species == "human": + species_scientific = "Homo%20sapiens" + elif _Species == "drosophila": + species_scientific = "Drosophila%20melanogaster" + else: + species_scientific = "all" + + species_scientific tSpan.append(HT.Span(HT.Href(text= 'PANTHER',target="mainFrame", \ - url="http://www.pantherdb.org/genes/gene.do?acc=%s" \ - % thisTrait.geneid,Class="fs14 fwn", \ + url="http://www.pantherdb.org/genes/geneList.do?searchType=basic&fieldName=all&organism=%s&listType=1&fieldValue=%s" \ + % (species_scientific, thisTrait.symbol),Class="fs14 fwn", \ title="Gene and protein data resources from Celera-ABI"), style=linkStyle), " "*2) else: pass @@ -755,11 +771,12 @@ class DataEditingPage(templatePage): UCSC_BLAT_URL = "" UTHSC_BLAT_URL = "" if UCSC_BLAT_URL: - verifyButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % UCSC_BLAT_URL) + #verifyButton = HT.Href(url="#", onClick="openNewWin('%s')" % UCSC_BLAT_URL) + verifyButton = HT.Href(url="#") verifyButtonImg = HT.Image("/images/verify_icon.jpg", name="addselect", alt=" Check probe locations at UCSC ", title=" Check probe locations at UCSC ", style="border:none;") verifyButton.append(verifyButtonImg) verifyText = "Verify" - rnaseqButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % UTHSC_BLAT_URL) + rnaseqButton = HT.Href(url="#", onClick="openNewWin('%s')" % UTHSC_BLAT_URL) rnaseqButtonImg = HT.Image("/images/rnaseq_icon.jpg", name="addselect", alt=" View probes, SNPs, and RNA-seq at UTHSC ", title=" View probes, SNPs, and RNA-seq at UTHSC ", style="border:none;") rnaseqButton.append(rnaseqButtonImg) rnaseqText = "RNA-seq" |