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| author | Hao Chen | 2019-05-20 07:57:28 -0500 |
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| committer | Hao Chen | 2019-05-20 07:57:28 -0500 |
| commit | e4efbfee7b9f483374d78bd1a7ddbe971214eddc (patch) | |
| tree | a2a9745cc5bfbdbc7b7c6b6613bb66a1d61ed634 /templates/about.html | |
| parent | 34a6fff465e1db989005866843318a805191e9d4 (diff) | |
| download | genecup-e4efbfee7b9f483374d78bd1a7ddbe971214eddc.tar.gz | |
documentation
Diffstat (limited to 'templates/about.html')
| -rw-r--r-- | templates/about.html | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/templates/about.html b/templates/about.html index ea5e4c7..4d944e9 100644 --- a/templates/about.html +++ b/templates/about.html @@ -8,8 +8,13 @@ <p>Clicking the links will bring up the corresponding sentences in a new browser window. Clicking the keywords will bring up the correponding search terms. Clicking the genes will start a new search to find sentences containing the target gene and the top 200 addiction genes. -<p> The top 200 addiction genes were obtained by searching 29,761 human genes against addiction related keywords. To ensure comprehensive coverage, gene alias obtained from NCBI gene database were included in the search. The results were extensively curated to remove those alias that matched words that were not gene name or wrong genes. Some incorrect results remained because the same name also produced correct results. The archived results for these top addiction genes can be accessed via the <a href="/allTopGenes">Addiction Genes</a> link. +<p> The top 200 addiction genes were obtained by searching 29,761 human genes against addiction related keywords. To ensure comprehensive coverage, gene alias obtained from NCBI gene database were included in the search. The results were extensively curated to remove over 900 alias that matched words that were not gene name or wrong genes. Some incorrect results remained because the same name also produced correct results. The resulting 61,000 sentences are archived localy and can be accessed via the <a href="/allTopGenes">Addiction Genes</a> link. We also archived 5.3 million PMIDs associatd with these gene for efficient search of query gene to addiction gene relations. + +<p> We also parsed the EBI GWAS catalog to obtain 23,000 genetics associations with addiction and psychiatric phenotypes. These results are included in the search by default. +<p> +We plan to update the local PubMed archive daily, the intermediate search results weekly and the EBI GWAS catalog quarterly. + <hr> <a href="https://github.com/chen42/ratspub"> Source code </a> |