Nature paper highlights how random variations and reprogramming lead to cancer drug resistance

Biological materials, structures and processes may appear random, but they actually have underlying patterns that can be elucidated with the use of high-performance computing.

At the University of Delaware, assistant professor Abhi Singh is developing a variety of novel computational and mathematical methods for studying and characterizing complex networks of genes and proteins inside cells.

He and his graduate student, Cesar Vargas-Garcia, recently collaborated with a team at the University of Pennsylvania on research to better understand drug resistance in cancer cells.

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