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Related Experiment Video

Updated: Mar 21, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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Published on: May 4, 2018

Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualization.

Baekdoo Kim¹, Thahmina Ali¹, Samuel Hosmer²

¹Department of Biological Sciences Center for Translational and Basic Research and Belfer Research Building, Hunter College of the City University of New York, New York, NY, USA.

Bioinformatics (Oxford, England)

|May 7, 2016

Summary

Visual Omics Explorer (VOE) offers a user-friendly, cross-platform solution for bioinformatics data visualization. This HTML/Javascript tool enables interactive exploration of diverse omics data without complex installation, enhancing accessibility for researchers.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

The increasing volume of omics data presents significant data mining and visualization challenges.
Existing bioinformatics visualization tools often require substantial maintenance or technical expertise for installation and use.

Purpose of the Study:

To develop a novel, accessible, and cross-platform data visualization portal for omics data.
To address the limitations of current bioinformatics visualization tools by offering a simple, standalone solution.

Main Methods:

Developed the Visual Omics Explorer (VOE) using only HTML and Javascript.
Designed VOE as a standalone, cross-platform application loadable offline or online.
Ensured VOE requires no dependencies beyond the distributed code.

Main Results:

VOE enables interactive visualization of genomics, transcriptomics, epigenomics, and metagenomics data.
The portal supports data stored locally or from cloud storage services.
VOE is compatible with both desktop and mobile devices.

Conclusions:

VOE provides a flexible and user-friendly solution for exploring diverse omics datasets.
The tool lowers the barrier to entry for bioinformatics data visualization, benefiting a wider research community.