We will discuss common types of sequencing data and perform hands on analyses in:
Genomics:
DNA sequencing platforms
Tools for genome assemblies
Transcriptomics:
RNA-seq and Ribo-profiling analysis, detection of differentially expressed genes
Evolution of gene expression
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: 2019

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

Teacher(s):
Beatriz Vicoso

Teaching assistant(s):
Julia Raices

If you want to enroll to this course, please click: REGISTER