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,
- 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.
- Students may request one 3-day extension in the semester for full credit.
- Otherwise, late submission within 3 days results in at most 80% of
credits. Submission later than 3 days results in 0% of credits.