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diff --git a/templates/about.html b/templates/about.html index bdf52f7..3cdefc5 100644 --- a/templates/about.html +++ b/templates/about.html @@ -7,25 +7,25 @@ <h3> About GeneCup </h3> <hr> - <p>GeneCup searches PubMed to find abstracts containing genes of interest and keywords in the custom ontologies. - The title and abstracts corresponding to the PMIDs are then retrieved 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. We also parse the GWAS catalog to obtain + <p>GeneCup searches PubMed to find abstracts containing genes of interest and keywords in the custom ontologies. + The title and abstracts corresponding to the PMIDs are then retrieved 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. We also parse the GWAS catalog to obtain genetics associations with the keywords of the custom ontology. - <p>A list of curated <a href="/ontology">addiction-related keywords</a> can be used to search - addiction-related genes. We compiled the most studied 100 addiction related genes - 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 - associated with these gene for efficient search of query gene to addiction gene relations. - We obtain 23,000 genetics associations with the addiction and psychiatric phenotypes from GWAS catalog. + <p>A list of curated <a href="/ontology">addiction-related keywords</a> can be used to search + addiction-related genes. We compiled the most studied 100 addiction related genes + 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 + associated with these gene for efficient search of query gene to addiction gene relations. + We obtain 23,000 genetics associations with the addiction and psychiatric phenotypes from GWAS catalog. These results are included in the search by default. - + <p> We plan to update the local PubMed archive daily and the EBI GWAS catalog quarterly. </div> @@ -37,9 +37,7 @@ Cite: Gunturkun MH, Flashner E, Wang T, Mulligan MK, Williams RW, Prins P, Chen H. <a href="https://academic.oup.com/g3journal/article/12/5/jkac059/6548160" target=_new>GeneCup: mining PubMed and GWAS catalog for gene-keyword relationships.</a> G3 (Bethesda). 2022 May 6;12(5):jkac059. doi: 10.1093/g3journal/jkac059. PMID: 35285473; PMCID: PMC9073678. -<p> <a href="https://github.com/chen42/ratspub"> Source code </a> +<p> <a href="https://git.genenetwork.org/genecup/">Source code </a> {% endblock %} - - |