Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who have passed the module should be able to

• account for the structure, structural elements and elements of evolution of genomes
• account for commonly used databases, search and visualization tools
• account for genotype/phenotype relationship
• describe homology of genomes and speciation – theory, tools and limitations
• account for and argue for choice of data mining algorithms
• provide overview of important public databases

Skills

• conduct de novo assembly of genomes
• conduct resequencing of genomes
• detect genomic variants
• carry out enome annotation, gene, repeat etc. prediction.
• carry out Functional annotation using public databases
• perform genome wide association analysis
• perform transcriptome analysis
• use predictive algorithms

Competences

• make correct interpretations of complex genomic data and hypothesis driven experimental designs

Type of instruction

Thematic workshops based on small online topic based talks, but with strong element of topic resolved theoretical exercises and student presentations.

Extent and expected workload

150 hours

Exam

Exams