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FEKT-MPC-ABSAcad. year: 2023/2024
The subject provides statistical foundations and an overview of the core algorithms of sequence analysis. Topics covered will include background on probability, Hidden Markov Models, and multiple hypothesis testing. Sequence analysis algorithms will include alignment, optimal pairwise local alignment, pairwise global alignment and multiple alignment, gene finding and phylogenetic trees.
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Genetic variability
Models of DNA evolution
Models of protein evolution
Phylogenetic trees Introduction
Phylogenetic trees - construction
Evaluation of phylogenetic analysis
Description of protein structure
Comparison of protein structures
Sequencing data entry
Sequencing data processing
CNV and methylation analysis
Numerical and graphical representations
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