Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36210
Title: Exploring the Microbiome Analysis and Visualization Landscape
Authors: PEETERS, Jannes 
THAS, Olivier 
SHKEDY, Ziv 
KODALCI, Leyla 
MUSISI, Connie 
OWOKOTOMO, Olajumoke Evangelina 
DYCZKO, Aleksandra 
HAMAD, Ibrahim 
VANGRONSVELD, Jaco 
KLEINEWIETFELD, Markus 
THIJS, Sofie 
AERTS, Jan 
Issue Date: 2021
Source: Frontiers in Bioinformatics, 1 (Art N° 774631)
Abstract: Research on the microbiome has boomed recently, which resulted in a wide range of tools, packages, and algorithms to analyze microbiome data. Here we investigate and map currently existing tools that can be used to perform visual analysis on the microbiome, and associate the including methods, visual representations and data features to the research objectives currently of interest in microbiome research. The analysis is based on a combination of a literature review and workshops including a group of domain experts. Both the reviewing process and workshops are based on domain characterization methods to facilitate communication and collaboration between researchers from different disciplines. We identify several research questions related to microbiomes, and describe how different analysis methods and visualizations help in tackling them.
Keywords: microbiome;visual analytics;data visualization;bioinformatcs;data analysis;biostatistics
Document URI: http://hdl.handle.net/1942/36210
ISSN: 2673-7647
DOI: 10.3389/fbinf.2021.774631
Rights: Copyright © 2021 Peeters, Thas, Shkedy, Kodalci, Musisi, Owokotomo, Dyczko, Hamad, Vangronsveld, Kleinewietfeld, Thijs and Aerts. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Category: A1
Type: Journal Contribution
Validations: vabb 2023
Appears in Collections:Research publications

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