Case Studies in Functional Genomics
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About this course
We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions.
Throughout the case studies, we will make use of exploratory plots to get a general overview of the shape of the data and the result of the experiment.
We will learn the basic steps in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples. The course will end with a brief description of the basic steps for analyzing ChIP-seq datasets, from read alignment, to peak calling, and assessing differential binding patterns across multiple samples.
These courses make up two Professional Certificates and are self-paced:
