[Methods and applications for microbiome data analysis].

Clicks: 561
ID: 52528
2019
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Abstract
Development of high-throughput sequencing stimulates a series of microbiome technologies, such as amplicon sequencing, metagenome, metatranscriptome, which have rapidly promoted microbiome research. Microbiome data analysis involves a lot of basic knowledge, software and databases, and it is difficult for peers to learn and select proper methods. This review systematically outlines the basic ideas of microbiome data analysis and the basic knowledge required to conduct analysis. In addition, it summarizes the advantages and disadvantages of commonly used software and databases used in the comparison, visualization, network, evolution, machine learning and association analysis. This review aims to provide a convenient and flexible guide for selecting analytical tools and suitable databases for mining the biological significance of microbiome data.
Reference Key
liu2019methodsyi Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Yongxin;Qin, Yuan;Guo, Xiao-Xuan;Bai, Yang;
Journal Yi chuan = Hereditas
Year 2019
DOI
10.16288/j.yczz.19-222
URL
Keywords
Neural network genomics phylogeny gene interrogation lizards snakes

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