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authorHao Chen2019-05-20 07:57:28 -0500
committerHao Chen2019-05-20 07:57:28 -0500
commite4efbfee7b9f483374d78bd1a7ddbe971214eddc (patch)
treea2a9745cc5bfbdbc7b7c6b6613bb66a1d61ed634 /templates/index.html
parent34a6fff465e1db989005866843318a805191e9d4 (diff)
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- 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> To better answer this question, data from <a href="https://www.ebi.ac.uk/gwas/">EBI GWAS catalog </a>are also included in the search.
+ 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>
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