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

Snehal V. Bhange, S. S. Dongre, H. Tikariha, H. Purohit
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引用次数: 3

Abstract

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.
利用R Package分析不同DO水平下生长的微生物群落差异
微生物群落在自然生态系统中发挥着重要的作用,对动物和人类的健康都有较大的影响。为了理解这种纠缠系统并释放其潜在的好处,需要从分析和统计两方面研究这些群落的结构和功能。本文简要介绍了用R编程语言开发的微生物群落分析R包,以帮助研究人员从原始数据中创建丰度和功能概况,并根据他们的需求进行分析。与微生物群落有关的生物数据和信息的分析被认为是该领域的核心问题。因此,计划使用几个R包来执行这个领域中使用R模块的数据的集合和完整的解释。在本文中,我们倾向于提出一种生物信息性R包,它可以分析物种的丰度并确定单向方差,并用作danova R包。这个想法提供了直接的分类分组,是为检查群落中进化微生物的状态而定制的,也是适当和可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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