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authorHao Chen2019-05-21 05:35:29 -0500
committerHao Chen2019-05-21 05:35:29 -0500
commit3dba78248d81fc97d5347fa167828ba3a8f95cd8 (patch)
tree63f684594bb395b86b556c3fff3d6e75ef06afe3 /templates
parent7408927967d6828065cf704da1888e844c05f208 (diff)
downloadgenecup-3dba78248d81fc97d5347fa167828ba3a8f95cd8.tar.gz
minor adj
Diffstat (limited to 'templates')
-rw-r--r--templates/about.html3
-rw-r--r--templates/index.html16
2 files changed, 10 insertions, 9 deletions
diff --git a/templates/about.html b/templates/about.html
index 4d944e9..ebd8554 100644
--- a/templates/about.html
+++ b/templates/about.html
@@ -2,7 +2,8 @@
{% extends "layout.html" %}
{% block content %}
-<h3> About RatsPub ...</h3>
+<h3> About RatsPub </h3>
+<hr>
<p>RatsPub searches PubMed to find abstracts containing genes of interest and a list of curated addiction-related keywords. The abstracts corresponding to these returned PMIDs are then retrieve from a <a href="https://dataguide.nlm.nih.gov/edirect/archive.html">local archive of the PubMed</a>. No limit on the date of publication is set. Each abstract is then broken down into sentences, which are then filtered by gene names and keywords.
diff --git a/templates/index.html b/templates/index.html
index 7df2a4e..f9a4fc1 100644
--- a/templates/index.html
+++ b/templates/index.html
@@ -7,21 +7,21 @@
<table>
<tr><td >
-<p>
- RatsPub searches PubMed to find <i>sentences</i> that contain the query terms (i.e., gene symbols) and <a href="https://github.com/chen42/RatsPub/blob/master/ratspub_keywords.py">drug addiction-related keywords</a>. These gene-keyword relationships are presented as an interactive graph that can efficiently answer the question <b>"What do we know about these genes and addiction?". </b> Data from <a href="https://www.ebi.ac.uk/gwas/">EBI GWAS catalog </a>are also included in the search to better answer this question.
+
+<p> RatsPub searches PubMed to find <i>sentences</i> that contain the query terms (i.e., gene symbols) and <a href="https://github.com/chen42/RatsPub/blob/master/ratspub_keywords.py">drug addiction-related keywords</a>. These gene-keyword relationships are presented as an interactive graph that can efficiently answer the question <b>"What do we know about these genes and addiction?". </b> Data from <a href="https://www.ebi.ac.uk/gwas/">EBI GWAS catalog </a>are also included in the search to better answer this question.
<p> The graph has many interactive elements. For example, clicking gene names will launch a new search for sentences containing the target gene and 200 addiction-related genes. These results help to answer the question <b>"Are there genes that can link my gene of interest to addiction?" </b>
+
+<p>Up to 100 gene symbols can be searched at a time. Gene symbols can be separated by either a space or a semicolon. Gene alias will <i>not</i> be automatically included because the large number of false matches associated with gene synonyms retrieved from databases.
</td>
<td >
<div class='img'><img src="/static/ratspub.png" class="img-fluid">
- </td></tr>
- <tr><td colspan=2>
-
- Up to 100 gene symbols can be searched at a time. Gene symbols can be separated by either a space or a semicolon. Gene alias will <i>not</i> be automatically included because the large number of false matches associated with gene synonyms retrieved from databases.
- </td></tr></table>
+ </td>
+ </tr>
+</table>
<p>
- <b>Example</b>: Rgma Nrxn3; Chrna3
+ <b>Example</b>: Rgma Nrxn3 Chrna3
<br>
<form action="/progress">