组学
系统生物学
计算机科学
计算生物学
数据共享
生物信息学
生物
医学
病理
替代医学
作者
Kang Chen,Yutong Han,Yanni Wang,Dingli Zhou,Fanjie Wu,Wenhao Cai,Shikang Zheng,Qinyuan Xiao,Haiyue Zhang,Weizhong Li
出处
期刊:iScience
[Elsevier]
日期:2024-03-26
卷期号:27 (4): 109567-109567
被引量:1
标识
DOI:10.1016/j.isci.2024.109567
摘要
The human respiratory system is a complex and important system that can suffer a variety of diseases. Single-cell sequencing technologies, applied in many respiratory disease studies, have enhanced our ability in characterizing molecular and phenotypic features at a single-cell resolution. The exponentially increasing data from these studies have consequently led to difficulties in data sharing and analysis. Here, we present scMoresDB, a single-cell multi-omics database platform with extensive omics types tailored for human respiratory diseases. scMoresDB re-analyzes single-cell multi-omics datasets, providing a user-friendly interface with cross-omics search capabilities, interactive visualizations, and analytical tools for comprehensive data sharing and integrative analysis. Our example applications highlight the potential significance of BSG receptor in SARS-CoV-2 infection as well as the involvement of HHIP and TGFB2 in the development and progression of chronic obstructive pulmonary disease. scMoresDB significantly increases accessibility and utility of single-cell data relevant to human respiratory system and associated diseases.
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