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Differential Analysis of Microbial Community grown with different DO levels Using R Package

机译:使用R包装的微生物群落种植的微生物群落的差异分析

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The microbial communities play a salient role in natural ecosystems and have a greater impact on animal and human health. To understand this entangled system and unlock its potential benefit there is need to study these community structures and function both analytically and statistically. This article briefs about the microbial community analysis R packages which are developed in R programming language, to assist researchers for creating abundance and functional profile from raw data and performs analyses specific to their needs. The analysis of biological data and information related to microbial community are known together to be the central issues within the space. Therefore several R packages are planned to perform a collective and complete interpretation of data using R modules in this area. In this paper we tend to present a bio-informative R package which can analyze the abundance of the species and determine the one way variance which is used as fdANOVA R package. The idea provides the straightforward categorical grouping, is custom-made to check the status of evolving microbes in a community and is appropriate and reliable as well.
机译:微生物社区在天然生态系统中发挥着突出作用,对动物和人类健康产生了更大的影响。要了解这种纠缠的系统并解锁其潜在福利,需要在分析和统计上进行这些社区结构和功能。本文简要介绍了R编程语言中开发的微生物群落分析R包,以帮助研究人员从原始数据创建丰富和功能配置文件,并对他们的需求进行特定的分析。对微生物群落相关的生物数据和信息的分析在一起是空间内的核心问题。因此,计划几个R包以在该区域中使用R模块执行对数据的集体和完全解释。在本文中,我们倾向于呈现生物信息R包,可以分析物种的丰富,并确定用作Fdanova R包的一种方式方差。该想法提供了直接的分类分组,是定制的,以检查社区中不断发展的微生物的状态,也是合适的,也是可靠的。

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