Snehal V. Bhange, S. S. Dongre, H. Tikariha, H. Purohit
{"title":"Differential Analysis of Microbial Community grown with different DO levels Using R Package","authors":"Snehal V. Bhange, S. S. Dongre, H. Tikariha, H. Purohit","doi":"10.1109/ICCMC.2018.8488014","DOIUrl":null,"url":null,"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.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"52 1","pages":"1078-1080"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8488014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.