Learning outcomes

The students will have theoretical and practical knowledge about key fields of bioinformatics, computational biology, and systems biology. After finishing they will be able to perform analyses of DNA and protein sequences, protein structures and gene expression data and interpret the results in their biological context.

Evaluation

Weighted average of all numerically evaluated courses and the MSc thesis.

Belongs to following modules

Bioinformatics

BIO2250 Introduction to Programming, 6 ECTS

BIO4280 Algorithms in Bioinformatics, 4 ECTS

BIO4270 Bioinformatics, Programming Course, 4 ECTS

BIO4211 Genomics, Transcriptomics and Proteomics, 4 ECTS

BIO4240 Structural Bioinformatics, 4 ECTS

BIO4230 Phylogenetics, 4 ECTS

BIO4660 Advanced Statistics, 4 ECTS

Systems biology/Data analysis 4–10 ECTS

4–10 ECTS

BIO4221 TUT SGN-6106 Computational Systems Biology, 5 ECTS

BIO4220 Systems Biology I, 4 ECTS

BIOI4200 Expression Data Analysis, 4 ECTS

BIO4201 TUT SGN-6176 Microarray Data Analysis, 5 ECTS

BIO4222 TUT SGN-9406 Signal Processing Graduate Seminar IV, 3 ECTS

BTK4030 Thesis Seminar, 2 ECTS

BTK4033 Maturity Test,

BTK4031 M.Sc. Thesis, 40 ECTS