If you like to "compute for a purpose", this bioinformatics cluster is for you. The next generation of computational biologists are already revolutionizing medicine, identifying variations in DNA that are predictive of phenotypes (propensity of diseases). The bioinformatics cluster focuses on combinatorial and machine learning algorithms, statistical techniques, and biomedical instrumentation technologies required for solving biological problems. They will train students to understand, manipluate, and interrogate biological data, preparing them for careers in biotechnology industry, and graduate school, including medicine.
Related courses (if you like these courses, you may like this cluster)
BIMM 100 - Molecular Biology
CSE 181 - Molecular Sequence Analysis
CSE 182 - Biological Databases
BENG 183 - Applied Genomic Technologies or BIMM 185 - Bioinformatics Lab (Advanced)
- Math 186 - Probability and Statistics in Bioinformatics
CSE undergraduate students are encouraged to collaborate on projects and research with CSE faculty, CSE graduate students and CSE undergraduate students. Students may receive course credit for completed work by enrolling into CSE 199 - Independent Study. Students are furthermore encouraged to pursue an Honor's Project and continue their independent work. . There are many opportunities in the CSE Department to join a research project. If you want to work on research in this field, contact faculty listed below.