Retrieval and visualization of biological data are essential for understanding complex systems. With the increasing volume of data generated from high-throughput sequencing technologies, effective and optimized data visualization tools have become indispensable. This is particularly relevant in the COVID-19 postpandemic period, where understanding the diversity and interactions of microbial communities (i.e., viral and bacterial) constitutes an important asset to develop and plan suitable interventions.In this chapter, we show the usage and the potentials of ExTaxsI (Exploring Taxonomy Information) tool to retrieve viral biodiversity data stored in National Center for Biotechnology Information (NCBI) databases and create the related visualization. In addition, by integrating different functions and modules, the tool generates relevant types of visualization plots to facilitate the exploration of microbial biodiversity communities useful to deep dive into ecological and taxonomic relationships among different species and identify potential significant targets.Using the Monkeypox virus as a case study, this work points out significant perspectives on biological data visualization, which can be used to gain insights into the ecology, evolution, and pathogenesis of viruses. Accordingly, we show the potentiality of ExTaxsI to organize and describe the available/downloaded data in an easy, simple, and interpretable way allowing the user to interact dynamically with the visualization plots through specific filters, zoom, and explore functions.

Brusati, A., Agostinetto, G., Bruno, A., Casiraghi, M., Pescini, D., Sandionigi, A., et al. (2024). Exploration and Retrieval of Virus-Related Molecular Data Using ExTaxsI: The Monkeypox Use Case. In V. Pantaleo, L. Miozzi (a cura di), Viral Metagenomics Methods and Protocols (pp. 145-154). Humana Press, Inc. [10.1007/978-1-0716-3515-5_10].

Exploration and Retrieval of Virus-Related Molecular Data Using ExTaxsI: The Monkeypox Use Case

Agostinetto G.
;
Bruno A.;Casiraghi M.;Pescini D.;Sandionigi A.;
2024

Abstract

Retrieval and visualization of biological data are essential for understanding complex systems. With the increasing volume of data generated from high-throughput sequencing technologies, effective and optimized data visualization tools have become indispensable. This is particularly relevant in the COVID-19 postpandemic period, where understanding the diversity and interactions of microbial communities (i.e., viral and bacterial) constitutes an important asset to develop and plan suitable interventions.In this chapter, we show the usage and the potentials of ExTaxsI (Exploring Taxonomy Information) tool to retrieve viral biodiversity data stored in National Center for Biotechnology Information (NCBI) databases and create the related visualization. In addition, by integrating different functions and modules, the tool generates relevant types of visualization plots to facilitate the exploration of microbial biodiversity communities useful to deep dive into ecological and taxonomic relationships among different species and identify potential significant targets.Using the Monkeypox virus as a case study, this work points out significant perspectives on biological data visualization, which can be used to gain insights into the ecology, evolution, and pathogenesis of viruses. Accordingly, we show the potentiality of ExTaxsI to organize and describe the available/downloaded data in an easy, simple, and interpretable way allowing the user to interact dynamically with the visualization plots through specific filters, zoom, and explore functions.
Capitolo o saggio
Data integration; Data visualization; Database; Molecular data; Taxonomy; Viral biodiversity;
English
Viral Metagenomics Methods and Protocols
Pantaleo, V; Miozzi, L
8-dic-2023
2024
9781071635148
2732 MIMB
Humana Press, Inc.
145
154
Brusati, A., Agostinetto, G., Bruno, A., Casiraghi, M., Pescini, D., Sandionigi, A., et al. (2024). Exploration and Retrieval of Virus-Related Molecular Data Using ExTaxsI: The Monkeypox Use Case. In V. Pantaleo, L. Miozzi (a cura di), Viral Metagenomics Methods and Protocols (pp. 145-154). Humana Press, Inc. [10.1007/978-1-0716-3515-5_10].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/474020
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