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Updated: Jan 24, 2026

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Published on: November 5, 2019
VOLPES: an interactive web-based tool for visualizing and comparing physicochemical properties of biological
Lukas Bartonek1, Bojan Zagrovic1
1Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria.
VOLPES is a new web server and JavaScript library for interactive visualization and analysis of biological sequences. It allows users to compare physicochemical properties of proteins and nucleic acids for deeper biological insights.
Area of Science:
- Biochemistry
- Bioinformatics
- Computational Biology
Background:
- Protein and nucleic acid structure, dynamics, and function depend on physicochemical properties of their primary sequences.
- One-dimensional profile plots are commonly used to visualize these properties against sequence position.
- Existing visualization methods are static, case-by-case, and lack quantitative comparison capabilities.
Purpose of the Study:
- To introduce VOLPES, a user-friendly web server and JavaScript library.
- To enable interactive, multifunctional visualization, analysis, and comparison of physicochemical properties in biological sequences.
- To provide unprecedented insight into biological sequence data.
Main Methods:
- Development of a web server (volpes.univie.ac.at) and a JavaScript library.
- Implementation of interactive and multifunctional visualization tools.
- Facilitation of quantitative comparison between different sequences.
Main Results:
- VOLPES offers a user-friendly platform for visualizing sequence properties.
- The tool supports interactive analysis and comparison of protein and nucleic acid sequences.
- It enables a more in-depth exploration of biological sequence data.
Conclusions:
- VOLPES enhances the analysis of biological sequences through interactive visualization.
- The platform facilitates quantitative comparisons, offering new avenues for research.
- It serves as a valuable starting point for exploring biological sequence data.
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