BIOENGC249
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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
4
Maximum
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
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.
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Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Course Objectives
Student Learning Outcomes
Cross-Listed Course(s)
Formats
Lecture, Discussion
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person
Minimum Hours
1
Maximum Hours
1
Discussion Mode of Instruction
In Person
Outside Work Hours Min
8
Maximum Hours
8