From 888e95f82ec96129257ff9064e9860a275fb7b15 Mon Sep 17 00:00:00 2001
From: Hao Chen
Date: Thu, 9 May 2019 00:07:32 -0500
Subject: clean up
---
templates/index.html | 20 ++++++++++++++++++--
1 file changed, 18 insertions(+), 2 deletions(-)
(limited to 'templates/index.html')
diff --git a/templates/index.html b/templates/index.html
index 27455fb..ba18e0c 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -2,10 +2,26 @@
{% block content %}
-
+
+ This app searches PubMed to find sentences that contain the query terms (e.g., gene symbols) and a drug addiction related keyword. These keywords belong to the following categories:
+
+- names of abused drugs, e.g., opioids
+- terms describing addiction, e.g., relapse
+- key brain regions implicated in addiction, e.g., ventral striatum
+- neurotrasmission, e.g., dopaminergic
+- synaptic plasticity, e.g., long term potentiation
+- intracellular signaling, e.g., phosphorylation
+
+
+
+Live searches are conducted through PubMed to get relevant PMIDs, which are then used to retrieve the abstracts from a local archive. The relationships are presented as an interactive cytoscape graph. The nodes can be moved around to better reveal the connections. Clicking on the links will bring up the corresponding sentences in a new browser window.
+
+
+ Source code
{% endblock %}
--
cgit 1.4.1