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Position: Home > issue > Jan 30, 2023 Volume 4, Issue 2
MicrobiotaProcess: A comprehensive R package for deep mining microbiome
Category:   Article   Download:  PDF  Figure  Endnote
Author: Shuangbin Xu, Li Zhan, Wenli Tang, Qianwen Wang, Zehan Dai, Lang Zhou, Tingze Feng, Meijun Chen, Tianzhi Wu, Erqiang Hu, Guangchuang Yu

a4.jpg

GRAPHICAL ABSTRACT


The data output from microbiome research is growing at an accelerating rate, yet mining the data quickly and efficiently remains difficult. There is still a lack of an effective data structure to represent and manage data, as well as flexible and composable analysis methods. In response to these two issues, we designed and developed the MicrobiotaProcess package. It provides a comprehensive data structure, MPSE, to better integrate the primary and intermediate data, which improves the integration and exploration of the downstream data.





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