Name
Abstract | ||
|---|---|---|
A Summary: Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1093/bioinformatics/btaa559 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 16 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 13 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ales Saska | 1 | 0 | 0.34 |
| David Tichy | 2 | 0 | 0.34 |
| Robert Moore | 3 | 0 | 0.34 |
| Achilles Rasquinha | 4 | 0 | 0.34 |
| Caner Akdas | 5 | 0 | 0.34 |
| Xiaodong Zhao | 6 | 0 | 0.68 |
| Renato Fabbri | 7 | 0 | 0.34 |
| Ana Jeličić | 8 | 0 | 0.34 |
| Gaurav Grover | 9 | 0 | 0.34 |
| Himanshu Jotwani | 10 | 0 | 0.34 |
| Mohamed Shadab | 11 | 0 | 0.34 |
| Resa Helikar | 12 | 0 | 0.34 |
| Tomáš Helikar | 13 | 74 | 7.13 |