Bioinformatics for Stem Cell and Cancer Biology
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Course Description
For graduate and medical students. High-throughput technologies and data science are essential tools in modern stem cell biology and cancer research. Students will gain practical exposure to bioinformatics concepts and techniques required to address biological questions within these research areas. The beginning of the quarter is focused on foundational principles underlying bioinformatics and genomics. Focus for the remainder of the quarter is on direct, hands-on experience with applications to common research problems. Topics include analysis of bulk and single-cell sequencing data, single gene to whole-genome analysis, machine learning, and data visualization. Intended for biology students without a background in computer science, or for students in a quantitative discipline interested in gaining exposure to key challenges in stem cell and cancer genomics. Basic programming experience is recommended but not required.
Cross Listed Courses
Grading Basis
MOP - Medical Option (Med-Ltr-CR/NC)
Min
2
Max
2
Course Repeatable for Degree Credit?
Yes
Total Units Allowed for Degree Credit
4
Course Component
Lecture
Enrollment Optional?
No
Programs
BIODS205
is a
completion requirement
for: