Methods for The Metagenomic Data Visualization and Analysis
| Autor: | Dmitry G. Alexeev, Alexander V. Tyakht, Konstantin Sudarikov |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Complex data type Bacteria Computer science business.industry Microbiota Multidimensional data General Medicine Data science Visualization Metagenomic 03 medical and health sciences Exploratory data analysis 030104 developmental biology Data visualization Metagenomics Databases Genetic Computer Graphics Methods Metagenome business Analysis |
| Zdroj: | Current Issues in Molecular Biology Volume 24 Issue 1 Pages 37-58 |
| ISSN: | 1467-3037 |
| DOI: | 10.21775/cimb.024.037 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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