Survey of Visualization Tools for Biological Network Analysis
Author Information
Author(s): Pavlopoulos Georgios A, Wegener Anna-Lynn, Schneider Reinhard
Primary Institution: Structural and Computational Biology Unit, EMBL
Hypothesis
The study reviews visualization tools for biological networks to identify their strengths and weaknesses.
Conclusion
The review highlights the need for improved visualization tools to handle the increasing complexity and volume of biological data.
Supporting Evidence
- The study identifies the challenges in visualizing large biological datasets.
- It discusses the importance of user-friendly tools for analyzing complex biological networks.
- The review emphasizes the need for tools that can integrate heterogeneous data types.
Takeaway
This study looks at different tools that help scientists see and understand complex biological data better.
Methodology
The study reviews and compares various visualization tools based on their functionalities, strengths, and limitations.
Limitations
The review cannot cover all available tools due to the vast number of visualization methods.
Digital Object Identifier (DOI)
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