Related Experiment Video
Updated: Feb 1, 2026
11:38
Preparation of Complaint Matrices for Quantifying Cellular Contraction
Published on: December 14, 2010
18.3K
RemBrain: Exploring Dynamic Biospatial Networks with Mosaic Matrices and Mirror Glyphs
Chihua Ma1, Filippo Pellolio2, Daniel A Llano3
1Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA.
The Journal of Imaging Science and Technology
|December 4, 2018
Summary
We present a visual comparison tool for exploring dynamic biological networks, aiding research in computational systems biology and neuroscience. This approach helps identify trends and anomalies in complex temporal network data.
Area of Science:
- Computational Systems Biology
- Neuroscience
- Data Visualization
Background:
- Understanding dynamic activation networks is crucial in computational systems biology and neuroscience.
- Demographic factors, such as age, significantly influence network dynamics.
- Existing methods lack effective tools for systematic exploration of temporal network characteristics.
Purpose of the Study:
- To introduce a web-based visual comparison approach for exploring dynamic activation networks.
- To design novel visual encodings for temporal and community characteristics of biological networks.
- To facilitate the comparative analysis of multiple biological datasets.
Main Methods:
- Developed a multi-scale visual approach combining nested mosaic matrices, spatial views, Kiviat diagrams, and mirror glyphs.
- Implemented a pairwise visual comparison design for analyzing multiple dataset activations.
- Utilized web-based visualization techniques for systematic exploration.
Main Results:
- The approach effectively visualizes temporal characteristics and community assignments of nodes in dynamic networks.
- Pairwise comparison features enhance the analysis of multiple dataset activations.
- Demonstrated utility through a case study on mouse brain network data.
Conclusions:
- The developed visual comparison approach aids in identifying trends and anomalies in dynamic biological networks.
- This tool supports computational systems biology and neuroscience research by providing insights into network dynamics.
- Domain expert feedback confirms the approach's effectiveness in data exploration.
More Related Videos
08:32Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
Published on: May 4, 2018
6.8K
05:56Direct Agroinoculation of Maize Seedlings by Injection with Recombinant Foxtail Mosaic Virus and Sugarcane Mosaic Virus Infectious Clones
Published on: February 27, 2021
5.9K
Related Concept Videos
01:34The Fluid Mosaic Model
178.0K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
178.0K
01:19Fluid Mosaic Model
16.5K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
16.5K
02:26Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
02:26Protein Networks
2.9K
2.9K
02:18Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
02:20Dynamic Equilibrium
62.7K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
62.7K