What are the applications of graph theory in computational biology?
An example of an AI chatbot conversation about applications of graph theory in computational biology.
What are the applications of graph theory in computational biology?
Graph theory is used in computational biology to model complex biological systems, such as protein interactions and gene regulatory networks.
Can you give me an example of how it's applied in studying protein interactions?
Sure! In studying protein interactions, graph theory helps represent proteins as nodes and interactions as edges, allowing researchers to analyze the network structure.
What tools or software are commonly used for this analysis?
Common tools include Cytoscape for visualizing networks and Gephi for analyzing large graph datasets.
Are there any recent advancements in this area?
Yes, recent advancements include the integration of machine learning with graph theory to predict protein interactions more accurately.
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