Cargando…
A Systemic Analysis of Transcriptomic and Epigenomic Data To Reveal Regulation Patterns for Complex Disease
Integrating diverse genomics data can provide a global view of the complex biological processes related to the human complex diseases. Although substantial efforts have been made to integrate different omics data, there are at least three challenges for multi-omics integration methods: (i) How to si...
Autores principales: | Xu, Chao, Zhang, Ji-Gang, Lin, Dongdong, Zhang, Lan, Shen, Hui, Deng, Hong-Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499134/ https://www.ncbi.nlm.nih.gov/pubmed/28500050 http://dx.doi.org/10.1534/g3.117.042408 |
Ejemplares similares
-
Integrative Analysis of Transcriptomic and Epigenomic Data to Reveal Regulation Patterns for BMD Variation
por: Zhang, Ji-Gang, et al.
Publicado: (2015) -
Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs
por: Zhang, Xiao, et al.
Publicado: (2022) -
Prioritization of Osteoporosis‐Associated Genome‐wide Association Study (GWAS) Single‐Nucleotide Polymorphisms (SNPs) Using Epigenomics and Transcriptomics
por: Zhang, Xiao, et al.
Publicado: (2021) -
Integrative Analysis of Transcriptomic and Methylomic Data in Photoperiod-Dependent Regulation of Cucumber Sex Expression
por: Lai, Yun-Song, et al.
Publicado: (2018) -
Comparative Transcriptome Profiling Reveals Compatible and Incompatible Patterns of Potato Toward Phytophthora infestans
por: Duan, Yanfeng, et al.
Publicado: (2019)