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authorPjotr Prins2024-06-22 04:27:44 -0500
committerPjotr Prins2024-06-22 04:27:44 -0500
commitfd0d852cc46ae5e23341358682e7d8e682c81414 (patch)
tree035fde0e6cfc08c066900a54ff601f01003d210d /templates/about.html
parenta223741881aadb73e75ed6d5d7d4e20dca1cda90 (diff)
downloadgenecup-fd0d852cc46ae5e23341358682e7d8e682c81414.tar.gz
Add footer and version info
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<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 %}
-
-