Evidence map›Paper›PMID 38060123›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

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

Alberto Brusati, Giulia Agostinetto, Antonia Bruno, Maurizio Casiraghi, Dario Pescini, Anna Sandionigi, Bachir Balech

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alberto BrusatiUniversity of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy.
Giulia AgostinettoUniversity of Milano-Bicocca, Department of Biotechnology and Biosciences, Milan, Italy. giulia.agostinetto@unimib.it.
Antonia BrunoUniversity of Milano-Bicocca, Department of Biotechnology and Biosciences, Milan, Italy.
Maurizio CasiraghiUniversity of Milano-Bicocca, Department of Biotechnology and Biosciences, Milan, Italy.
Dario PesciniUniversity of Milano-Bicocca, Department of Statistics and Quantitative Methods, Milan, Italy.
Anna SandionigiUniversity of Milano-Bicocca, Department of Biotechnology and Biosciences, Milan, Italy.
Bachir BalechInstitute of Biomembranes, Bioenergetics and Molecular Biotechnologies (CNR), Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Mpox, MonkeypoxVirusesBacteriaBiodiversityDatabases, FactualHumansDatabaseData integrationData visualizationMolecular dataTaxonomyViral biodiversity

Identifiers

PMID38060123

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.