This is an old revision of the document!
RNA-seq is a commonly used method for analyzing gene expression. This course will provide hands-on experience processing and analyzing high-throughput sequencing data, with an emphasis on RNA-seq.
By the end of the course students will be proficient with:
Lectures: Tuesdays and Thursdays, 10:00 - 11:50 am in Biology 134.
Linux as a computational platform (DSCI 510) or a familiarity with UNIX/Linux and working from the command line.
Please see the course REQUIREMENTS for information on the computer you should bring to class, requesting SUMMIT access, and required software.
There is no textbook for this course. Reading assignment are papers describing the techniques used in the course.
We will be using Canvas Discussions for class-wide communications.
Your grade for this course will be based on assignments, readings, lab notebook, and a final exam. The percentages are as follows:
The calculation of the final letter grade will be made as follows:
These ranges for a letter grade might be shifted a little lower, but will not be raised.
Late assignments will be accepted if you make arrangements with the instructor before the due date. You will be given 48 additional hours to complete the assignment.
Assignments - There will be 6 assignments worth 7 pts each. Your lowest assignment score will be dropped for a total of 35 possible points.
Readings – Three will be 6 readings worth 3 pts each. Your lowest reading score will be dropped for a total of 15 possible points.
Erin's section will have a 5 minute quiz at the beginning of each class. These are not graded.