基因组
鉴定(生物学)
微生物群
仿形(计算机编程)
计算生物学
管道(软件)
人类微生物组计划
生物
生物分类
数据库
人体微生物群
计算机科学
生物信息学
基因
生态学
遗传学
进化生物学
程序设计语言
操作系统
作者
Zixuan Xie,Chaysavanh Manichanh
标识
DOI:10.1016/j.csbj.2022.07.010
摘要
While analysis of the bacterial microbiome has become routine, that of the fungal microbiome is still hampered by the lack of robust databases and bioinformatic pipelines. Here, we present FunOMIC, a pipeline with built-in taxonomic (1.6 million marker genes) and functional (3.4 million non-redundant fungal proteins) databases for the identification of fungi. Applied to more than 2,600 human metagenomic samples, the tool revealed fungal species associated with geography, body sites, and diseases. Correlation network analysis provided new insights into inter-kingdom interactions. With this pipeline and two of the most comprehensive fungal databases, we foresee a fast-growing resource for mycobiome studies.
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