We will discuss common types of sequencing data and perform hands on analyses in:
1. Genomics:
-DNA sequencing platforms
-Tools for genome assemblies
2. Transcriptomics:
-RNA-seq and Ribo-profiling analysis, detection of differentially expressed genes
-Evolution of gene expression
3. Epigenomics:
-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.

Prerequisites: None

Evaluation: Three project reports.

Teaching format: Each week there will be an introductory lecture followed by a computational assignment.

ECTS: 3 Year: 2020

Track segment(s):
BIO-QUANT Biology - Quantitative and Computational Methods in Biology
DSSC-QUANT Data Science and Scientific Computing - Quant. and Comput. Methods in Biology

Beatriz Vicoso

Teaching assistant(s):

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