基因组
可视化
数据可视化
计算机科学
探索性数据分析
数据挖掘
数据科学
数据探索
钥匙(锁)
系统发育树
探索性分析
计算生物学
生物
遗传学
计算机安全
基因
作者
Konstantin Sudarikov,Alexander Tyakht,Dmitry Alexeev
标识
DOI:10.21775/cimb.024.037
摘要
Surveys of environmental microbial communities using metagenomic approach produce vast volumes of multidimensional data regarding the phylogenetic and functional composition of the microbiota. Faced with such complex data, a metagenomic researcher needs to select the means for data analysis properly. Data visualization became an indispensable part of the exploratory data analysis and serves a key to the discoveries. While the molecular-genetic analysis of even a single bacterium presents multiple layers of data to be properly displayed and perceived, the studies of microbiota are significantly more challenging. Here we present a review of the state-of-art methods for the visualization of metagenomic data in a multi-level manner: from the methods applicable to an in-depth analysis of a single metagenome to the techniques appropriate for large-scale studies containing hundreds of environmental samples.
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