Have added the chromosones and filtering by gene and chroms.

gnvweb/eneg/src/main/resources/public/js/vis/dataProcessing.js

@@ -4,12 +4,12 @@
  * top sorts descending (text or num) on the field
  * returns the top x amount. Can sort in terms of top infinity --> to get a sorted list.
  * bottom sorts ascending (but same same).
- * 
+ *
  * to remove dimesnion = dispose
  * Can have max 32 (> 8 dimensions cause it to be very slow).
  * Can make an array to have several elements in a dimensions (i.e. start and end).
  * .all() on the grouped data exposes the data to be able to use it in Javascrippt
- * 
+ *
  * filterRangd([>=min, <max]); Can also do on strings
  * there is also a filter for a function.
  */
@@ -19,7 +19,7 @@
  * Helps with debugging. Native cross filter objects can't be viewed properly in
  * console.log.
  */
-function print_filter(filter) {
+function get_filter(filter) {
     var f = eval(filter);
     if (typeof (f.length) != "undefined") {
     } else {
@@ -34,7 +34,8 @@ function print_filter(filter) {
         }).top(Infinity);
     } else {
     }
-    console.log(filter + "(" + f.length + ") = " + JSON.stringify(f).replace("[", "[\n\t").replace(/}\,/g, "},\n\t").replace("]", "\n]"));
+    return f;
+    //console.log(filter + "(" + f.length + ") = " + JSON.stringify(f).replace("[", "[\n\t").replace(/}\,/g, "},\n\t").replace("]", "\n]"));
 }
 
 /**
@@ -43,25 +44,27 @@ function print_filter(filter) {
  * ----------------------------------------------------------------------------
  */
 
-var processed_data = {};
+var processed_data = {
+    curr_chrom: 'chr1', // keep track of the current chromosone.
+};
 
 
 var set_up_genome_data = function (data) {
     // Set up the crossfilter facts. --> use a JSON object i.e. data
     // that contains elements (array) these get translated to facts.
     // Data contains the following:
-    //      1.chrom     2.start     3.end   4.gene or network  
+    //      1.chrom     2.start     3.end   4.gene or network
     var genome_facts = crossfilter(data);
-    
+
     // Store globally
     processed_data["genome_facts"] = genome_facts;
-
+    processed_data["fact_size"] = genome_facts.size();
 }
 
 var add_network_data = function(network_data) {
     // Add the network data to the genome data
     processed_data.genome_facts.add(network_data);
-    
+
 }
 
 /**
@@ -74,7 +77,7 @@ var create_type_dimension = function () {
     var type_dimension = processed_data.genome_facts.dimension(function (d) {
         return d.type;
     });
-    
+
     // Store globally
     processed_data["type_dimension"] = type_dimension;
 
@@ -82,24 +85,24 @@ var create_type_dimension = function () {
 
 
 var create_start_dimension = function () {
-    // Dimensions are stateful. 
+    // Dimensions are stateful.
     // Create a dimesnsion on the start of either the gene or network
     var start_dimension = processed_data.genome_facts.dimension(function (d) {
         return d.start;
     });
-    
+
     // Store globally
     processed_data["start_dimension"] = start_dimension;
- 
+
 }
 
 var create_end_dimension = function () {
-    // Dimensions are stateful. 
+    // Dimensions are stateful.
     // Create a dimesnsion on the end of either the gene or network
     var end_dimension = processed_data.genome_facts.dimension(function (d) {
         return d.end;
     });
-    
+
     // Store Globally
     processed_data["end_dimension"] = end_dimension;
 
@@ -110,12 +113,23 @@ var create_chrom_dimension = function () {
     var chrom_dimension = processed_data.genome_facts.dimension(function (d) {
         return d.chrom;
     });
-    
+
     // Store Globally
-    processed_data["chrom_dimension"] = chrom_dimension;    
+    processed_data["chrom_dimension"] = chrom_dimension;
 
 }
 
+/**
+ * ----------------------------------------------------------------------------
+ *                      Create groups
+ * ----------------------------------------------------------------------------
+ */
+var create_chrom_group = function() {
+    // Want to get all the chromosones as a group
+
+    processed_data["chrom_group"] = processed_data.chrom_dimension.group(function(d) {return d.split('_');}).all();
+
+};
 
 /**
  * ----------------------------------------------------------------------------
@@ -134,7 +148,7 @@ var filter_on_position = function(start, end) {
     // Clear the associated filters.
     processed_data.start_dimension.filterAll();
     processed_data.end_dimension.filterAll();
-    
+
     // Filters the data based on the start and end positions
     // filterRange([>=min, <max]); Can also do on strings
     processed_data.start_dimension.filterRange([start, end]);
@@ -146,30 +160,34 @@ var filter_on_position = function(start, end) {
 var filter_on_chrom = function(chrom) {
     // Clear associated filter
     processed_data.chrom_dimension.filterAll();
-    
+
     // Use an exact filter as we only want that specific chromosone.
     processed_data.chrom_dimension.filterExact(chrom);
+
     // Now the underlying data has changed (will need to redraw)
+    return get_filter(processed_data.genome_facts);
 }
 
 var filter_on_networks = function() {
     // Clear associated filter
     processed_data.type_dimension.filterAll();
-    
+
     // Allows us to only look at networks (the genes will have the gene ID in
     // that collumn).
     processed_data.type_dimension.filterExact("network");
-    // Now the underlying data has changed (will need to redraw)    
+    // Now the underlying data has changed (will need to redraw)
+    return get_filter(processed_data.genome_facts);
 }
 
 var filter_on_gene = function(gene) {
     // Clear associated filter.
     processed_data.type_dimension.filterAll();
-    
+
     // Here we filter using the type dimension as that will either have "network"
     // or the gene ID.
-    processed_data.type_dimension.exactFilter(gene);
-    // Now the underlying data has changed (will need to redraw) 
+    processed_data.type_dimension.filterExact(gene);
+    // Now the underlying data has changed (will need to redraw)
+    return get_filter(processed_data.genome_facts);
 }