Computational methods for large-scale data in medical diagnostics

The bottleneck of the large-scale data processing has made bioinformatic analyses a crucial component in life sciences workflows. The two large fields in biomedical studies, whose rapid development in the recent years has strongly depended on computational methods, are genetics and proteomics. They both are strictly linked to each other, e.g. structural organization of the genome affects the variety of proteins in the organism; on the other hand, proteins are the crucial functional molecules that participate in the process of extracting the information encoded in the genome. In this thesis, we present selected bioinformatic methods and discuss their application in basic research as well as in clinical diagnostics.