The course is usually not over-subscribed. However, due to many students enrolling and dropping, I am asking you to fill in your requests, and I will confirm registration after the first week of classes. Historically, all interested students have been able to register.

Description. The goal of this course is to (a) introduce you to the data modalities common in OMICS data analysis, and (b) to understand the algorithms used to analyze these data. There are two parts to the course. In the first part, we learn how to preprocess OMICS data (mainly next-gen sequencing and mass spectrometry) to transform it into an abstract representation. In the second part, we look at algorithms that are used to query these abstract representations without worrying about the underlying biology. We focus on foundational work that will allow you to understand new tools that are continually being developed.