MetaViz – A graphical meta-model instantiator for generating information dashboards and visualizations

Vázquez-Ingelmo, Andrea; García‐Peñalvo, Francisco José; Therón, Roberto

doi:10.1016/j.jksuci.2022.09.015

Cited by 7 publications

(1 citation statement)

References 40 publications

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“…MetaViz, an R and NodeJs-based platform, provides a novel navigation tool for exploring hierarchical feature data that is coupled with multiple data visualizations including heatmaps, stacked bar charts, and scatter plots. It also supports a flexible plugin framework, enabling users to develop and add their own visualization tools ( Vázquez-Ingelmo et al, 2022 ). Finally, MetaSee is a Java-based platform, offering the interactive visualization of metagenomic samples of interest at multiple levels (global view, phylogenetic view, sample view and taxa view), and an Application Programming Interface for the development of new analysis and visualization plugins ( Song et al, 2012 ).…”

Section: Visualization Of Metagenomic Data At a Raw And Family Levelmentioning

confidence: 99%

Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters

Baltoumas

Karatzas²,

Páez-Espino³

et al. 2023

Front. Bioinform.

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Metagenomics has enabled accessing the genetic repertoire of natural microbial communities. Metagenome shotgun sequencing has become the method of choice for studying and classifying microorganisms from various environments. To this end, several methods have been developed to process and analyze the sequence data from raw reads to end-products such as predicted protein sequences or families. In this article, we provide a thorough review to simplify such processes and discuss the alternative methodologies that can be followed in order to explore biodiversity at the protein family level. We provide details for analysis tools and we comment on their scalability as well as their advantages and disadvantages. Finally, we report the available data repositories and recommend various approaches for protein family annotation related to phylogenetic distribution, structure prediction and metadata enrichment.

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Section: Visualization Of Metagenomic Data At a Raw And Family Levelmentioning

confidence: 99%

Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters

Baltoumas

Karatzas²,

Páez-Espino³

et al. 2023

Front. Bioinform.

View full text Add to dashboard Cite

show abstract

Data visualization and domain knowledge: Insights through focus groups of researchers in Spain

Vázquez-Ingelmo,

García-Holgado,

Verdugo-Castro

et al. 2024

Computers in Human Behavior

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ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design

Khakpour,

Vázquez-Ingelmo,

Colomo-Palacios

et al. 2024

IEEE Access

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MetaViz – A graphical meta-model instantiator for generating information dashboards and visualizations

Cited by 7 publications

References 40 publications

Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters

Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters

Data visualization and domain knowledge: Insights through focus groups of researchers in Spain

ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design

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