This course provides the possibility to propose courses.
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: 2019
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