The Computational Biology Track curriculum is designed to help students learn how to leverage mathematical and computational approaches to understand biological and chemical processes.
Any student pursuing a Ph.D. with a background and interest in this field can add a Computational Biology Track to his or her Ph.D.
Mathematical and computational concepts, methods, and algorithms are being applied to all areas of basic and clinical life sciences, which results in a variety of research topics. Examples include:
- Biophysics and Structural Biology – Protein structure and function prediction; analysis of biological sequences and 3D structures; macromolecular interactions and biological networks; molecular evolution
- Chemical Biology – Analysis of small organic molecules; design of materials and drugs; chemical dynamics
- Genetics and Genomics – Analysis of DNA/RNA sequences; genome association to cellular and organismal function; statistical genetics
- Imaging – Computer vision and pattern recognition applied to medical imaging and microscopy data, statistical and mathematical modeling of the spatiotemporal organization of image events from molecular to macroscopic scales.
- Medical Informatics – Machine learning of patterns in multivariate clinical databases, predictive modeling of clinical outcomes by variable association
- Systems Biology – Computational reconstruction and analysis of biological networks; modeling of complex, nonlinear systems; spatiotemporal integration of chemical and mechanical processes across scales
Going Beyond Lab Research
- Advanced Coursework
The curriculum offers a selection of elective courses that introduce some of the computational, mathematical, and statistical foundations of these applications. The curriculum course series is complemented by a growing offering of nanocourses that are open to all UT Southwestern students, staff, and faculty.
- Works-in-Progress Seminars, Journal Clubs, Speaker Series
The backbone of the curriculum consists of a weekly series of alternating student works-in-progress/journal club presentations and seminars by external speakers.
- Fellows Program
Students can also apply for participation in the fellows programs in the Bioinformatics Core Facility and in the Bio High Performance Computing facility. These unique programs offer co-mentorship for portions of the dissertation research to graduate students affiliated with a life science or clinical lab in the areas of computational biology and information technology.