We will discuss common types of sequencing data and perform hands on analyses in:
-DNA sequencing platforms
-Tools for genome assemblies
-RNA-seq and Ribo-profiling analysis, detection of differentially expressed genes
-Evolution of gene expression
-Examples of analyses different datasets, e.g. Chip-Seq (histone modifications).
Target group: Experimental biologists and/or theoreticians looking to analyze large-scale sequencing data.
Evaluation: Three project reports.
Teaching format: Each week there will be an introductory lecture followed by a computational assignment.
ECTS: 3 Year: 2020
BIO-QUANT Biology - Quantitative and Computational Methods in Biology
DSSC-QUANT Data Science and Scientific Computing - Quant. and Comput. Methods in Biology
If you want to enroll to this course, please click: REGISTER