Lectures

Lecture Date Lecturer Topics Slides References
1 19.2. JK Intro, sample bioinformatics tasks. intro
2 26.2. JK Sequencing algorithms, fragment assembly. assembly Nagarajan13, Compeau11
3 4.3. JK Biological sequence alignment. alignment Durbin's book, ch 2,6
4 11.3. JK BLAST algorithm and its modifications. multi align, BLAST Altschul97
5 18.3. JK Motif discovery. Motif discovery Dhaeseleer06
6 25.3. JK Phylogenetic trees, hierarchical clustering. phylogeny Durbin's book, ch 7
- 1.4. - Easter Monday
7 8.4. JK Phylogenetic trees, parsimony and probabilistic methods. see the previous lecture Durbin's book, ch 8
8 15.4. JK Markov models, Markov chains. Markov chains Durbin's book, ch 3
9 22.4. JK Hidden Markov models, profile HMMs, gene finidng. HMMs Burge97, HMM_algs
10 29.4. JK Gene expression profiling. DGE Love14
11 6.5. JK Gene ontology, gene/protein function prediction. Gene ontology GOingStrong19, GOLabeler, GSEA
12 13.5. JK RNA secondary structure prediction RNA secondary Eddy04, Vicens22, Durbin's book, ch 9,10
13 20.5. JK Modeling of higher protein structures, protein databases. Protein folding AlphaFold2, Dill12, Rost98, Lathorp96, Threading
courses/bin/program.txt · Last modified: 2024/02/26 17:31 by klema