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Commit b2b31532 authored by Nijveen's avatar Nijveen
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minor fixes

parent eecf9597
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cistrans/views.py
View file @ b2b31532
......@@ -240,32 +240,36 @@ def outputJson(experiment_name, qtl_file, thld, output):
# define LOD interval
if start > 0 and end < len(lod_list_chr[chr_ref3]) - 1:
inv_start = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][start - 1])
inv_end = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][end + 1])
marker_name = output_dic['pmarknames'][chr_ref3][start - 1]
inv_start = marker_list_dic[marker_name]["start"]
marker_name = output_dic['pmarknames'][chr_ref3][end + 1]
inv_end = marker_list_dic[marker_name]["start"]
if start == 0 and end < len(lod_list_chr[chr_ref3]) - 1:
inv_end = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][end + 1])
marker_name = output_dic['pmarknames'][chr_ref3][end + 1]
inv_end = marker_list_dic[marker_name]["start"]
if start > 0 and end == len(lod_list_chr[chr_ref3]) - 1:
inv_start = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][start - 1])
marker_name = output_dic['pmarknames'][chr_ref3][start - 1]
inv_start = marker_list_dic[marker_name]["start"]
# define one LOD support interval
if inv_start_ind_lod_support == 0 and inv_end_ind_lod_support != len(
lod_list_chr[chr_ref3]) - 1:
inv_end_lod_support = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][
inv_end_ind_lod_support + 1])
marker_name = output_dic['pmarknames'][chr_ref3][inv_end_ind_lod_support + 1]
inv_end_lod_support = marker_list_dic[marker_name]["start"]
if inv_start_ind_lod_support != 0 and inv_end_ind_lod_support == len(
lod_list_chr[chr_ref3]) - 1:
inv_start_lod_support = getMarkerPos(experiment_name,
output_dic['pmarknames'][chr_ref3][
inv_start_ind_lod_support - 1])
marker_name = output_dic['pmarknames'][chr_ref3][inv_start_ind_lod_support - 1]
inv_start_lod_support = marker_list_dic[marker_name]["start"]
if inv_start_ind_lod_support != 0 and inv_end_ind_lod_support != len(
lod_list_chr[chr_ref3]) - 1:
inv_start_lod_support = getMarkerPos(experiment_name,
output_dic['pmarknames'][chr_ref3][
inv_start_ind_lod_support - 1])
inv_end_lod_support = getMarkerPos(experiment_name, output_dic['pmarknames'][chr_ref3][
inv_end_ind_lod_support + 1])
marker_name = output_dic['pmarknames'][chr_ref3][inv_start_ind_lod_support - 1]
inv_start_lod_support = marker_list_dic[marker_name]["start"]
marker_name = output_dic['pmarknames'][chr_ref3][inv_end_ind_lod_support + 1]
inv_end_lod_support = marker_list_dic[marker_name]["start"]
# plot only peak LOD
lod_dic = {} # empty dictionary for each iteration
......
correlation/templates/correlation.html
View file @ b2b31532
......@@ -89,9 +89,12 @@ genes.push({ "gene": "{{ gene.gene_id }}",
<th>Gene&nbsp;ID (count={{ gene_list|length }})</th>
<th>Gene Name</th>
<th>Pearson's Correlation Coefficient</th>
<th>Position</th>
<th>Description</th>
<th><button onclick="DownloadGeneList()" title="Opens new browser window with the list of genes">Download gene list</button>
<button onclick="GeneListToQuery()" title="Opens new query window with the list of genes">Query gene list</button></th>
<th>
<button onclick="DownloadGeneList()" title="Opens new browser window with the selected gene IDs">Download selected gene IDs</button>
<button onclick="GeneListToQuery()" title="Opens new query window for the selected genes">Query selected genes</button>
</th>
</tr>
{% for gene in gene_list %}
<tr>
......@@ -104,6 +107,7 @@ genes.push({ "gene": "{{ gene.gene_id }}",
</td>
<td>{{ gene.gene_name }}</td>
<td>{{ gene.correlation|floatformat:2 }}</td>
<td>{{ gene.chr }}:{{ gene.start }}</td>
<td colspan=2 align=left>{{ gene.description }}</td></tr>
{% endfor %}
</table>
......@@ -136,10 +140,28 @@ genes.push({ "gene": "{{ gene.gene_id }}",
readCheckboxes();
});
function DownloadGeneList() {
window.open('/AraQTL/download/?data={% for gene in gene_list %}{{ gene.gene_id }},{% endfor %}');
var checkedValues = $('input[name="gene_checkbox"]:checked').map(function() {
return this.value;
}).get();
var checkedValuesLength = checkedValues.length
var query_genes = ""
for (var j = 0; j < checkedValuesLength; j++) {
query_genes += genes[checkedValues[j]].gene + ","
}
window.open('/AraQTL/download/?data=' + query_genes);
}
function GeneListToQuery() {
window.open('/AraQTL/multiplot/?query={% for gene in gene_list %}{{ gene.gene_id }}+{% endfor %}&experiment_name={{ experiment_name }}');
var checkedValues = $('input[name="gene_checkbox"]:checked').map(function() {
return this.value;
}).get();
var checkedValuesLength = checkedValues.length
var query_genes = ""
for (var j = 0; j < checkedValuesLength; j++) {
query_genes += genes[checkedValues[j]].gene + "+"
}
window.open('/AraQTL/multiplot/?query=' + query_genes + '&experiment_name={{ experiment_name }}');
}
</script>
{% endif %}
......
correlation/views.py
View file @ b2b31532
......@@ -18,6 +18,8 @@ class GeneInfoCorrelation:
transcript_name = ""
description = ""
gene_name = ""
chr = 0
start = 0
correlation = 0
......@@ -88,6 +90,8 @@ def correlation(request):
if gi:
g.description = gi[0].description
g.gene_name = gi[0].gene_name
g.chr = gi[0].chr
g.start = gi[0].start
genelist.append(g)
return render_to_response('correlation.html', {'experiment_name': exp_name,
......@@ -127,11 +131,10 @@ def loadLodFile(experiment):
def calculateCorrelation(gene, lodscores):
geneLodscores = lodscores[gene]
geneLodscores = [abs(float(x)) for x in lodscores[gene]]
correlations = dict()
for s in lodscores:
correlations[s] = numpy.corrcoef(geneLodscores, lodscores[s])[0, 1]
del correlations[gene]
correlations[s] = numpy.corrcoef(geneLodscores, [abs(float(x)) for x in lodscores[s]])[0, 1]
return correlations
......
main/templates/about.html
View file @ b2b31532
<div id="about_text">
<div class="paragraph">
<h1>About</h1>
AraQTL is a web-based workbench and database for expression quantitative trait loci (eQTL) investigation.<br>
It’s aim is to support the Arabidopsis and plant genetics community to utilities eQTL data in their research.<br>
<h1>AraQTL</h1>
AraQTL is a web-based workbench and database for expression quantitative trait locus (eQTL) investigation.
Its aim is to support the Arabidopsis and plant genetics community to use eQTL data in their research.<br>
<p></p>
Created by Harm Nijveen, Jiao Long &amp; Basten Snoek<br>
<p></p>
Collaborators: Wilco Ligterink, Joost Keurentjes, Henk Hilhorst, Jan Kammenga, Dick de Ridder, Oliver Loudet, Pjotr Prins<br>
<p></p>
</div>
<div class="paragraph">
Created by Harm Nijveen, Jiao Long &amp; Basten Snoek.<br><br>
Wageningen University <a href="http://www.bif.wur.nl/">Bioinformatics Group</a>,
<a href="http://www.nem.wur.nl/">Laboratory of Nematology</a>
&amp; <a href="http://www.wur.nl/en/Expertise-Services/Chair-groups/Plant-Sciences/Laboratory-of-Plant-Physiology/Wageningen-Seed-Lab.htm">Wageningen Seed Lab</a><br><br>
With collaborators:<br>
Wilco Ligterink, Joost Keurentjes, Henk Hilhorst, Jan Kammenga, Oliver Loudet, Pjotr Prins, Mark Sterken &amp; Dick de Ridder<br><br>
Using <a href="https://github.com/kbroman/d3examples/tree/master/cistrans">cistrans</a> code by Karl Broman
</div>
<div class="paragraph">
A paper describing AraQTL is published in the Plant Journal:<br>
<A href="http://onlinelibrary.wiley.com/doi/10.1111/tpj.13457/full">
AraQTL - Workbench and Archive for systems genetics in <i>Arabidopsis thaliana</i>
</A>
</div>
</div>
main/templates/index.html
View file @ b2b31532
......@@ -189,7 +189,11 @@
AraQTL is the <i>Arabidopsis</i> workbench and database for eQTL analysis.
<br><br>
It allows easy access to the data of all published
<i>Arabidopsis thaliana</i> genetical genomics experiments.
<i>Arabidopsis thaliana</i> genetical genomics experiments.<br><br>
A paper describing AraQTL was published in the Plant Journal:<br>
<A href="http://onlinelibrary.wiley.com/doi/10.1111/tpj.13457/full">
AraQTL - Workbench and Archive for systems genetics in <i>Arabidopsis thaliana</i>
</A>
</div>
<br>
<a href="#helptext5" class="helplink">What is an eQTL?</a>
......@@ -205,7 +209,7 @@
</div>
</div>
<script>
var textAreaDefaultText = "Type your query, i.e. AT1G01150, or GO:0004674, or ERECTA";
var textAreaDefaultText = "Type your query, i.e. AT1G01150, ERECTA, Flowering or GO:0004674";
$('#queryArea').focus(function() {
if ($(this).val() == textAreaDefaultText) {
......
multiplot/templates/multiplot.html
View file @ b2b31532
......@@ -173,8 +173,8 @@ dot["pos"] = {{ gene_info_list.0.start }};
<th>Gene Name</th>
<th>Description</th>
<th>
<button onclick="DownloadGeneList()" title="Opens new browser window with the list of genes">Download gene list</button>
<button onclick="GeneListToQuery()" title="Opens new query window with the list of genes">Query gene list</button>
<button onclick="DownloadGeneList()" title="Opens new browser window with the selected gene IDs">Download selected gene IDs</button>
<button onclick="GeneListToQuery()" title="Opens new query window for the selected genes">Query selected genes</button>
</th></tr>
</thead>
......@@ -219,10 +219,28 @@ dot["pos"] = {{ gene_info_list.0.start }};
});
function DownloadGeneList() {
window.open('/AraQTL/download/?data={% for gene in gene_info_list %}{{ gene.gene_id }},{% endfor %}');
var checkedValues = $('input[name="gene_checkbox"]:checked').map(function() {
return this.value;
}).get();
var checkedValuesLength = checkedValues.length
var query_genes = ""
for (var j = 0; j < checkedValuesLength; j++) {
query_genes += genes[checkedValues[j]].gene + ","
}
window.open('/AraQTL/download/?data=' + query_genes);
}
function GeneListToQuery() {
window.open('/AraQTL/multiplot/?query={% for gene in gene_info_list %}{{ gene.gene_id }}+{% endfor %}&experiment_name={{ experiment_name }}');
var checkedValues = $('input[name="gene_checkbox"]:checked').map(function() {
return this.value;
}).get();
var checkedValuesLength = checkedValues.length
var query_genes = ""
for (var j = 0; j < checkedValuesLength; j++) {
query_genes += genes[checkedValues[j]].gene + "+"
}
window.open('/AraQTL/multiplot/?query=' + query_genes + '&experiment_name={{ experiment_name }}');
}
</script>
{% endif %}
......
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