EWAS: epigenome-wide association study software 2.0

MOTIVATION: With the development of biotechnology, DNA methylation data showed exponential growth. Epigenome-wide association study (EWAS) provide a systematic approach to uncovering epigenetic variants underlying common diseases/phenotypes. But the EWAS software has lagged behind compared with geno...

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Detalles Bibliográficos
Autores principales: Xu, Jing, Zhao, Linna, Liu, Di, Hu, Simeng, Song, Xiuling, Li, Jin, Lv, Hongchao, Duan, Lian, Zhang, Mingming, Jiang, Qinghua, Liu, Guiyou, Jin, Shuilin, Liao, Mingzhi, Zhang, Meng, Feng, Rennan, Kong, Fanwu, Xu, Liangde, Jiang, Yongshuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061808/
https://www.ncbi.nlm.nih.gov/pubmed/29566144
http://dx.doi.org/10.1093/bioinformatics/bty163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061808/
https://www.ncbi.nlm.nih.gov/pubmed/29566144
http://dx.doi.org/10.1093/bioinformatics/bty163

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