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 class is to learn how to analyze DNA and RNA sequences using computers. We will learn how to build computational tools that are used to analyze DNA content, identify protein binding patterns, compare sequences, and discover variation within genomes.

Course Details (Spring 2017)

Professor
Anna Ritz: aritz-at-reed-dot-edu
Office Hours: W/Th 11:00am-12:00pm or by appointment
See the Google Calendar for up-to-date information
Time & Place
Lecture: MWF 10:00am-10:50am, ETC 208
Lab S1: M 1:10pm-3:00pm, ETC 205
Lab S2: T 3:10pm-5:00pm, ETC 205
TAs/Tutors
Rose Driscol (Lab S1, DoJo): rosdrisc-at-reed-dot-edu
Mina Marden (Lab S2): yasmarden-at-reed-dot-edu
Elaine Kushkowski (DoJo): kushkowe-at-reed-dot-edu
See the Google Calendar for up-to-date office hours
Textbook
Bioinformatics Algorithms: An Active Learning Approach
Edition 2, Volume 1
Phillip Compeau & Pavel Pevzner
Textbook Website & Rosalind Website
Course details, homeworks, and additional readings are available on Moodle
Course Syllabus
Collaboration Policy
Google Calendar (including office hours) and Schedule of Topics