Purdue University

In collaboration with the Department of Biological Sciences, Research Computing will be once again offering an eight-week course, BIOL 59500, High Performance Computing (HPC) for Life Sciences.

• This course introduces advanced undergraduates and graduate students to using the Purdue RCAC compute clusters, the Unix operating system, and the cluster batch-operating system. This course is targeted at life science students in the colleges of agriculture, science, although enrollment is not limited to any department, school, or college. No previous experience with the Unix operating system, programming, or genomics is required.

• The course will focus on examples drawn from genomics, bioinformatics, and other life science applications. For spring 2019, the primary focus will be on hands-on analysis of differential gene expression using RNA-Seq data. Each week, the Tuesday session will be primarily lecture-based and introduce new material. The Thursday session will focus on hands-on examples and use of the methods. Students must bring a laptop to the class sessions in order to connect to RCAC compute systems.

• This semester we will be using Piazza for class discussion. The system is designed to let classmates and instructors help you quickly and efficiently. Rather than emailing questions to the instructors, I encourage you to post your questions on Piazza.

• Course home page: https://piazza.com/purdue/spring2019/biol59500/home

Instructors:

• Gladys Andino, Research Computing
• Michael Gribskov, Biological Sciences and Computer Science
• Nadia Atallah, Purdue Cancer Center

Location: Beering Hall of Lib Arts & Ed B254

Time: 9:30 am - 10:20 am

Days: Tuesday and Thursday