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+ deepened biological expertise
++ deepened knowledge of biological working methods
++ data analysis skills;
++ critical and analytical thinking
+ independent searching and knowledge of scientific literature
++ data presentation and discussion in English (written and spoken)
++ statistics & scientific programming

Lecture: Gene expression represents the first step of the translation of genomic information into a phenotype. This phenotype is of broad interest in all disciplines of biology. Gene expression data can reveal how genetic changes at single genes manifest phenotypically and how gene expression is regulated. The same data can also explain differences in life history and adaptation to different environments. Different perspectives can be understood by studying mechanisms of gene regulation as well as broad scale transcriptomics analyses. Exercise: We will generate and analyze gene expression data during the course including wet lab and computational methods. Practicals include the analysis of single-gene expression data as well as RNAseq data representing complete transcriptomes.

associated with bio733: Evolutionary Biology Population Genetics (recommended)

portfolio (60%) presentation (40%)