The main objectives of this module are:
After completion of the course, students are able to
- Explain what RNAseq, DNAsequencing reads and proteomics data look like and what they reflect
- Apply the most commonly used tools to process omics data.
- Distinguish neutral versus disease causing variants in DNA sequences
- Identify differentially expressed genes
- Identify and distinguish differentially expressed proteins
- Formulate and evaluate hypotheses about the processes affected in the diseased state versus the healthy state
- Compare various types of omics data to find consistent patterns in them
This course focuses on the analysis of the omics data: proteomics, genomics and RNAseq, and how to translate the raw data into biologically and medically meaningful variables. The course will be a “hands-on” course. Students will get the data and learn to process them using the currently available programs. The students will be able to interpret the results from those primary analyses. E.g. after assembling sequencing reads to obtain a consensus sequence, they will be able to interpret mutations into likely disease causing versus neutral mutations. Or, after converting RNAseq reads into gene expression values they will be able to call differentially expressed genes and interpret them into differentially regulated biological processes. With respect to proteomics data the students will learn how peptide masses are translated into peptides, and into peptide counts per protein. Finally the students will learn the current state of the art with respect to comparing and integrating data omics data.