BIOENGC249
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BIOENG C249 - Computational Functional Genomics
Course Title
Computational Functional Genomics
Course Description
This course provides a survey of the computational analysis of genomic data, introducing the material through lectures on biological concepts and computational methods, presentations of primary literature, and practical bioinformatics exercises. The emphasis is on measuring the output of the genome and its regulation. Topics include modern computational and statistical methods for analyzing data from genomics experiments: high-throughput RNA sequencing data, single-cell data, and other genome-scale measurements of biological processes. Students will perform original analyses with Python and command-line tools.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; S/U Option
Instructors
Lareau
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisites
Math 54 or EECS 16A/B; CS 61A or another course in python; BioE 11 or Bio 1a; and BioE 131. Introductory statistics or data science is recommended
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses
-
Credit Replacement Courses
-
Course Objectives
Student Learning Outcomes
Cross-Listed Course(s)
Formats
Lecture, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Mode of Instruction
In Person
Discussion Hours
1
Discussion Mode of Instruction
In Person
Outside Work Hours
8