MicrobiotaProcess:A comprehensive R package for deep mining microbiome

作     者：Shuangbin Xu Li Zhan Wenli Tang Qianwen Wang Zehan Dai Lang Zhou Tingze Feng Meijun Chen Tianzhi Wu Erqiang Hu Guangchuang Yu 

作者机构：Division of Laboratory MedicineMicrobiome Medicine CenterZhujiang HospitalSouthern Medical UniversityGuangzhou 510515China Department of BioinformaticsSchool of Basic Medical SciencesSouthern Medical UniversityGuangzhou 510515China 

出 版 物：《The Innovation》 (创新（英文）)

年 卷 期：2023年第4卷第2期

页      面：48-58,47页

核心收录：

学科分类：081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070303[理学-有机化学] 0703[理学-化学] 

基　　金：supported by the National Natural Science Foundation of China(32270677) 

主　　题：methods. structure integrate 

摘      要：The data output from microbiome research is growing at an accelerating rate,yet mining the data quickly and efficiently remains *** is still a lack of an effective data structure to represent and manage data,as well as flexible and composable analysis *** response to these two issues,we designed and developed the MicrobiotaProcess *** provides a comprehensive data structure,MPSE,to better integrate the primary and intermediate data,which improves the integration and exploration of the downstream *** this data structure,the downstream analysis tasks are decomposed and a set of functions are designed under a tidy *** functions independently perform simple tasks and can be combined to perform complex tasks.