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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Voronto: mapper for expression data to ontologies.

Rodrigo Santamaría1, Philippe Pierre

  • 1Departmento de Informática y Automática, Universidad de Salamanca, 37008 Salamanca, Spain. rodri@usal.es

Bioinformatics (Oxford, England)
|July 6, 2012
PubMed
Summary
This summary is machine-generated.

Voronto offers fast, interactive visualization of gene expression data integrated with biological ontologies. This tool uses Voronoi diagrams for quick hierarchy browsing and data exploration.

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Last Updated: May 20, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

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Published on: February 9, 2017

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Existing gene expression analysis methods primarily use statistical and numerical approaches.
  • There is a need for rapid, comprehensive, and interactive visualization tools for gene expression data within biological ontologies.

Purpose of the Study:

  • To develop a novel tool, Voronto, for visualizing gene expression data in the context of biological ontologies.
  • To provide an easy-to-use platform for integrating custom gene expression datasets with ontologies.

Main Methods:

  • Implementation of Voronoi diagrams to map gene expression data onto biological ontologies.
  • Development of a system for quick hierarchy browsing and integration with ontology resources.

Main Results:

  • Voronto successfully integrates custom gene expression data with ontologies.
  • The tool enables fast, global, and interactive visualization, addressing the identified need.

Conclusions:

  • Voronto provides an effective solution for visualizing gene expression data within biological ontologies.
  • The tool facilitates a more intuitive understanding of complex biological datasets through interactive exploration.