.png){kind=icon}
返回
Multi-omic approaches for host-microbiome data integration
.png){kind=icon}
OA
AI
DOI：10.1080/19490976.2023.2297860.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The gut microbiome interacts with the host through complex networks that affect physiology and health outcomes. It is becoming clear that these interactions can be measured across many different omics layers, including the genome, transcriptome, epigenome, metabolome, and proteome, among others. Multi-omic studies of the microbiome can provide insight into the mechanisms underlying host-microbe interactions. As more omics layers are considered, increasingly sophisticated statistical methods are required to integrate them. In this review, we provide an overview of approaches currently used to characterize multi-omic interactions between host and microbiome data. While a large number of studies have generated a deeper understanding of host-microbiome interactions, there is still a need for standardization across approaches. Furthermore, microbiome studies would also benefit from the collection and curation of large, publicly available multi-omics datasets.
Keyword:
Multiomics
microbiome
network
disease
analysis
inference
host-microbiome interactions
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11
论文数:
2.7K
被引数:
1.9W
机构
引用论文
The relationship between the gut microbiome and host gene expression: a review.png)
HUMAN GENETICSOAAI
HUMAN GENETICSIF3.6
OAAI分享收藏分享收藏Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data复杂疾病系统生物学分析的网络方法: 多组学数据的综合方法OAAI
OAAI分享收藏Variability in estimated gene expression among commonly used RNA-seq pipelines常用rna-seq管道中估计的基因表达的变异性SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏
查看更多内容