CS 598MEB: Computational Cancer Genomics
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||Prof. Mohammed El-Kebir
||TR 2:00-3:15 PM
||1103 Siebel Center
||Tuesdays 3:15-4:15 PM in 3216 Siebel Center
This course introduces fundamental problems and algorithmic approaches in cancer genomics. Covered topics include:
- tumor phylogeny inference,
- cancer immunotherapy,
- driver mutation identification,
- somatic variant calling.
This course will not
teach you how to run popular bioinformatics tools. Rather, we will focus on the underlying algorithmic ideas and the issues that arise when translating a biological problem into a computational problem and ultimately an accurate tool for biologists to use. In addition, this course will teach you how to read scientific papers and how to propose and conduct independent research.
This course is appropriate for graduate students in computer science, bioengineering, mathematics and statistics. Familiarity with basic statistics, probability and algorithms is expected.
- Class participation: 20%
- Asking critical questions
- Peer review
- Paper presentation: 30%
- Project: 50%
- Biology for Computer Scientists -- Lawrence Hunter [link]