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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
An interdepartmental Ph.D. program in computational biology and bioinformatics: the Yale perspective
Mark Gerstein1, Dov Greenbaum, Kei Cheung
1Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA. mark.gerstein@yale.edu <mark.gerstein@yale.edu>
Journal of Biomedical Informatics
|May 3, 2006
Summary
Yale University established a Ph.D. program in Computational Biology and Bioinformatics (CBB) to address the growing need for data analysis in biological research. The program aims to train scientists in this rapidly evolving interdisciplinary field.
Area of Science:
- Computational Biology and Bioinformatics (CBB)
- Interdisciplinary biological sciences
Background:
- CBB is a rapidly evolving discipline with significant potential for discovery and innovation.
- The increasing volume of biological data necessitates specialized training programs.
- Academic institutions are investing in CBB research and training.
Purpose of the Study:
- To describe Yale University's interdepartmental Ph.D. program in CBB, established in May 2003.
- To outline the scope, goals, and curriculum of the CBB Ph.D. program.
- To discuss challenges encountered during the program's implementation.
Main Methods:
- Program description and curriculum review.
- Analysis of implementation issues.
- Website resource for updated information.
Main Results:
- Yale successfully established a dedicated Ph.D. program in CBB.
- The program addresses the need for skilled professionals in biological data analysis.
- Implementation involved addressing various programmatic and logistical challenges.
Conclusions:
- The establishment of specialized CBB programs is crucial for advancing biological research.
- Yale's program serves as a model for other institutions developing similar initiatives.
- Effective program design and implementation are key to success in interdisciplinary fields.
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