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author | Hao Chen | 2019-05-21 16:36:07 -0500 |
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committer | Hao Chen | 2019-05-21 16:36:07 -0500 |
commit | 2ad607c82756d39749056cf68a6b57cde50d5d3c (patch) | |
tree | 0b70e2cca7b653ea8468ccc53028ecae9b53b532 | |
parent | e87aa54962f20d93e3cea18f425bb3f820768e63 (diff) | |
download | genecup-2ad607c82756d39749056cf68a6b57cde50d5d3c.tar.gz |
url for GWAS nodes
-rwxr-xr-x | ratspub.py | 4 | ||||
-rwxr-xr-x | server.py | 9 |
2 files changed, 7 insertions, 6 deletions
@@ -86,11 +86,13 @@ def searchArchived(sets, query): for key in catCnt.keys(): if sets=='gwas': nc=nodecolor["gwas"] + nodes += "{ data: { id: '" + key + "', nodecolor: '" + nc + "', url:'https://www.ebi.ac.uk/gwas/search?query="+key.replace("_GWAS","")+"' } },\n" elif key in drug_d.keys(): nc=nodecolor["drug"] + nodes += "{ data: { id: '" + key + "', nodecolor: '" + nc + "', url:'/shownode?node="+key+"' } },\n" else: nc=nodecolor["addiction"] - nodes += "{ data: { id: '" + key + "', nodecolor: '" + nc + "', nodetype: 'top150', url:'/shownode?node="+key+"' } },\n" + nodes += "{ data: { id: '" + key + "', nodecolor: '" + nc + "', url:'/shownode?node="+key+"' } },\n" edgeID=dataFile+"|"+query+"|"+key edges+="{ data: { id: '" + edgeID+ "', source: '" + query + "', target: '" + key + "', sentCnt: " + str(catCnt[key]) + ", url:'/sentences?edgeID=" + edgeID + "' } },\n" return(nodes+edges) @@ -63,14 +63,14 @@ def search(): sent0=gene_category(gene, addiction_d, addiction, "addiction") e0=generate_edges(sent0, tf_name) # - function=undic(function_d) - sent1=gene_category(gene, function_d, function, "function") + drug=undic(drug_d) + sent1=gene_category(gene, drug_d, drug, "drug") progress+=percent yield "data:"+str(progress)+"\n\n" e1=generate_edges(sent1, tf_name) # - drug=undic(drug_d) - sent2=gene_category(gene, drug_d, drug, "drug") + function=undic(function_d) + sent2=gene_category(gene, function_d, function, "function") progress+=percent yield "data:"+str(progress)+"\n\n" e2=generate_edges(sent2, tf_name) @@ -224,7 +224,6 @@ def showGeneTopGene (): results=result_f.read() return render_template('sentences.html', sentences=results+"<p><br>") - ## generate a page that lists all the top 150 addiction genes with links to cytoscape graph. @app.route("/allTopGenes") def top150genes(): |