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Exploring the microbiome analysis and visualization landscape

Jannes Peeters, Olivier Thas (UGent) , Ziv Shkedy, Leyla Kodalci, Connie Musisi, Olajumoke Evangelina Owokotomo, Aleksandra Dyczko, Ibrahim Hamad, Jaco Vangronsveld, Markus Kleinewietfeld, et al.
(2021) FRONTIERS IN BIOINFORMATICS. 1.
Author
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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

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Citation

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MLA
Peeters, Jannes, et al. “Exploring the Microbiome Analysis and Visualization Landscape.” FRONTIERS IN BIOINFORMATICS, vol. 1, Frontiers, 2021.
APA
Peeters, J., Thas, O., Shkedy, Z., Kodalci, L., Musisi, C., Owokotomo, O. E., … Aerts, J. (2021). Exploring the microbiome analysis and visualization landscape. FRONTIERS IN BIOINFORMATICS, 1.
Chicago author-date
Peeters, Jannes, Olivier Thas, Ziv Shkedy, Leyla Kodalci, Connie Musisi, Olajumoke Evangelina Owokotomo, Aleksandra Dyczko, et al. 2021. “Exploring the Microbiome Analysis and Visualization Landscape.” FRONTIERS IN BIOINFORMATICS 1.
Chicago author-date (all authors)
Peeters, Jannes, Olivier Thas, Ziv Shkedy, Leyla Kodalci, Connie Musisi, Olajumoke Evangelina Owokotomo, Aleksandra Dyczko, Ibrahim Hamad, Jaco Vangronsveld, Markus Kleinewietfeld, Sofie Thijs, and Jan Aerts. 2021. “Exploring the Microbiome Analysis and Visualization Landscape.” FRONTIERS IN BIOINFORMATICS 1.
Vancouver
1.
Peeters J, Thas O, Shkedy Z, Kodalci L, Musisi C, Owokotomo OE, et al. Exploring the microbiome analysis and visualization landscape. FRONTIERS IN BIOINFORMATICS. 2021;1.
IEEE
[1]
J. Peeters et al., “Exploring the microbiome analysis and visualization landscape,” FRONTIERS IN BIOINFORMATICS, vol. 1, 2021.
@article{8745337,
  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.}},
  articleno    = {{774631}},
  author       = {{Peeters, Jannes and Thas, Olivier and Shkedy, Ziv and Kodalci, Leyla and Musisi, Connie and Owokotomo, Olajumoke Evangelina and Dyczko, Aleksandra and Hamad, Ibrahim and Vangronsveld, Jaco and Kleinewietfeld, Markus and Thijs, Sofie and Aerts, Jan}},
  issn         = {{2673-7647}},
  journal      = {{FRONTIERS IN BIOINFORMATICS}},
  keywords     = {{microbiome,visual analytics,data visualization,bioinformatcs,data analysis,biostatistics}},
  language     = {{eng}},
  pages        = {{15}},
  publisher    = {{Frontiers}},
  title        = {{Exploring the microbiome analysis and visualization landscape}},
  volume       = {{1}},
  year         = {{2021}},
}