Lectures

Lecture Date Lecturer Topics Slides References
1 18.2. JK Intro, sample bioinformatics tasks. intro
2 25.2. JS Biological sequence alignment. alignment, alignment_2p, linear space Durbin's book, ch 2,6
3 4.3. JK BLAST algorithm and its modifications. multi align, BLAST Altschul97
4 11.3. JK Sequencing algorithms, fragment assembly. assembly Nagarajan13, Compeau11
5 18.3. JK Phylogenetic trees, hierarchical clustering. phylogeny,dist_based Durbin's book, ch 7
6 25.3. JK Phylogenetic trees, parsimony and probabilistic methods. parsimony, probablistic Durbin's book, ch 8
7 1.4. JK Markov models. Markov chains Durbin's book, ch 3
8 8.4. JK Markov models of genomic sequences, gene finidng, profile HMMs. HMM,applications Burge97
9 15.4. JS High-throughput data analysis, marker detection, predictive modeling. microarray, DeSEQ Goeman07
- 22.4. - Easter Monday
10 29.4. JK RNA secondary structure prediction RNA secondary Eddy04, Durbin's book, ch 9,10
11 6.5. JK Modeling of higher protein structures, protein databases. Protein structure prediction, Threading Dill12, Rost98, Lathorp96
12 13.5. JK Gene ontology, gene/protein function prediction. gfp-intro.pdf
13 20.5. JS Network inference and modeling. Network inference Sachs05
courses/bin/program.txt · Last modified: 2019/06/10 10:54 by klema