SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets

MOTIVATION: Post-genome-wide association studies (pGWAS) analysis is designed to decipher the functional consequences of significant single-nucleotide polymorphisms (SNPs) in the era of GWAS. This can be translated into research insights and clinical benefits such as the effectiveness of strategies...

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Detalles Bibliográficos
Autores principales: Falola, Oluwadamilare, Adam, Yagoub, Ajayi, Olabode, Kumuthini, Judit, Adewale, Suraju, Mosaku, Abayomi, Samtal, Chaimae, Adebayo, Glory, Emmanuel, Jerry, Tchamga, Milaine S S, Erondu, Udochukwu, Nehemiah, Adebayo, Rasaq, Suraj, Ajayi, Mary, Akanle, Bola, Oladipo, Olaleye, Isewon, Itunuoluwa, Adebiyi, Marion, Oyelade, Jelili, Adebiyi, Ezekiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825739/
https://www.ncbi.nlm.nih.gov/pubmed/36477976
http://dx.doi.org/10.1093/bioinformatics/btac791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825739/
https://www.ncbi.nlm.nih.gov/pubmed/36477976
http://dx.doi.org/10.1093/bioinformatics/btac791

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