Purdue University - Computational Life Sciences

Welcome to CLS

Computational Life Sciences is currently one of the most important and exciting areas in all of science and technology, which is positioned at the intersection of modern biology, quantitative modeling and high performance computing. Computational Life Sciences is helping to provide a fundamental understanding of complex biological systems and offers the potential to significantly impact a wide variety of technologies, including drug discovery, novel therapies for human, animal and plant diseases, metabolic engineering and efficient production of traditional and high-value foodstuffs.

 

The first issue of the Computational Times, a CS&E/CLS Newsletter, can be found here: Volume 1, Oct 2011 

 

CS&E and CLS Research Spotlight



Name Meghana Chitale
Department Computer Science
Advisor Daisuke Kihara
Research Title Functional Profiling of Proteins and Application of Functional Association to Missing Enzyme Prediction
Research Description
Meghana Chitale is a PhD candidate in the Department of Computer Science with a Computational Life Science specialization at Purdue University. She has been working in the field of computational biology with Dr. Daisuke Kihara on algorithm development for computational protein function prediction, analysis of relationships between terms used for describing proteins, and missing enzyme prediction in metabolic pathways. Meghana received the Bilsland Dissertation Fellowship for the Summer and Fall 2011.

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