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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 | e-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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fbinf-01-774631.pdf | Published version | 4.03 MB | Adobe PDF | View/Open |
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