How is graph theory applied in genomics?
An example of an AI chatbot conversation about graph theory's role in genomics.
How is graph theory applied in genomics?
Graph theory is used in genomics to model relationships between genes, proteins, and other biological entities.
Can you give an example of a specific application?
Sure! One application is in understanding protein-protein interactions, where nodes represent proteins and edges represent interactions.
What are the benefits of using graph theory in this field?
Using graph theory helps in visualizing complex biological networks, identifying key players, and predicting interactions.
Are there any limitations to using graph theory in genomics?
Yes, limitations include the complexity of biological systems and the need for high-quality data to create accurate models.
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