Caister Academic Press

Methods for The Metagenomic Data Visualization and Analysis

Authors: Konstantin SudarikovThe National Research University Higher School of Economics, Myasnitskaya ulitsa 20, Moscow, Russian Federation Alexander TyakhtMoscow Institute of Physics and Technology, Institutskiy pereulok 9, Dolgoprudny, and Federal Research and Clinical Centre of Physical-Chemical Medicine, Malaya Pirogovskaya 1a, Moscow, Russian Federation Dmitry AlexeevFederal Research and Clinical Centre of Physical-Chemical Medicine, Malaya Pirogovskaya 1a, Moscow, Russian Federation
Abstract:
Open-access article
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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