Journal
CURRENT ISSUES IN MOLECULAR BIOLOGY
Volume 24, Issue -, Pages 37-58Publisher
CAISTER ACAD PRESS
DOI: 10.21775/cimb.024.037
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Funding
- Ministry of Education and Science of Russian Federation [RFMEFI57514X0075]
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Surveys of environmental microbial communities using a 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-the-art methods for the visualization of metagenomic data in a multilevel 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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