We can sequence an entire human genome for a few thousand dollars. Now what?
High-throughput technologies produce massive amounts of data, much too large to analyze by hand. The goal of this course is to learn how to analyze DNA, RNA, and protein sequences using computers. Through a combination of foundational examples and current research questions, this course aims to demystify computer science, molecular biology, and some of the ways they intersect.
Course Details (Spring 2021 - In person and virtual)
- Professor
- Anna Ritz: aritz-at-reed-dot-edu
- Office Hours: M 3-4pm and Th 10-11am; zoom link on (sign-in required)
- Time & Place
- Lecture: MWF 10:05am-10:55am, Zoom
- Lab S1: W 1:25pm-3:15pm, ETC 211
- Lab S2: Th 1:40pm-3:30pm, ETC 205
- Lab S3: Th 3:45pm-5:35pm, ETC 205
- Bio31 Drop-In Tutors
- Tayla Isensee: 4-6pm Sundays and 3-4pm Tuesdays
- Iki Edreva: 7-9pm Mondays and 4-5pm Tuesdays
- See Moodle or the academic support page for the zoom links
- Textbook
- Bioinformatics Algorithms: An Active Learning Approach
- Phillip Compeau & Pavel Pevzner
- &
- Relevant chapters are freely available online.
- Course details, homeworks, and additional readings are available on
- Course Syllabus
- Collaboration Policy
- Schedule of Topics