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PGA: post-GWAS analysis for disease gene identification
SUMMARY: Although the genome-wide association study (GWAS) is a powerful method to identify disease-associated variants, it does not directly address the biological mechanisms underlying such genetic association signals. Here, we present PGA, a Perl- and Java-based program for post-GWAS analysis tha...
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| Gepubliceerd in: | Bioinformatics |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5946835/ https://ncbi.nlm.nih.gov/pubmed/29300829 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx845 |
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