Materials: Rozdiel medzi revíziami
Z MBI
| Riadok 89: | Riadok 89: | ||
|- | |- | ||
{{T|Dec. 1||11}} | {{T|Dec. 1||11}} | ||
| − | {{R | L| RNA, secondary structure, Nussinov algorithm, stochastic context-free grammars, RNA family profiles | | + | {{R | L| RNA, secondary structure, Nussinov algorithm, stochastic context-free grammars, RNA family profiles | {{pdf|p-rna}} | }} |
{{Lit2 | DEKM chapter 10, ZB chapter 11.9}}, [https://youtu.be/_Hh03Khsr9k SK video] | {{Lit2 | DEKM chapter 10, ZB chapter 11.9}}, [https://youtu.be/_Hh03Khsr9k SK video] | ||
| − | {{R | TI| Examples of biological databases, HW1 model solutions, introduction to context-free grammars | | + | {{R | TI| Examples of biological databases, HW1 model solutions, introduction to context-free grammars | | [[CI10|SK notes]] | }} |
| − | {{R | TB| Genes, comparative genomics, Pfam | | | + | {{R | TB| Genes, comparative genomics, Pfam | | [[CB10|SK notes]] }} |
|- | |- | ||
{{T|Dec. 8||12}} | {{T|Dec. 8||12}} | ||
Verzia zo dňa a času 16:33, 30. november 2022
This webpage contains a preliminary schedule of lectures and tutorials for the semester which will be updated as needed. Notes and presentations will be published after each class.
Literature:
- BV: Brejová, Vinař: Metódy v bioinformatike. (preliminary version of lecture notes in Slovak, only several lectures) pdf
- DEKM: Durbin, Eddy, Krogh, Mitchison: Biological sequence analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press 1998. Can be studied in the FMFI library under code I-INF-D-21
- ZB: Zvelebil, Baum: Understanding Bioinformatics. Taylor & Francis 2008. Can be studied in the FMFI library under code I-INF-Z-2
For each lecture, we list book chapters best corresponding to the covered material. However, the lecture may differ substantially from the listed chapters which serve as the source of additional information.
Recordings of lectures in Slovak from 2018/19
Notes and presentations
L: lecture (everybody), TI: tutorial for computer science/informatics students, TB: tutorial for biology/chemistry/physics students
Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12, Week 13
| Sept. 22 | |||
| L: | Introduction, course rules, sequencing and genome assembly | pdf, pdf | |
| BV chapter 1, video 1 video 2 | |||
| TI: | Introduction to biology | notes | |
| ZB chapter 1, video | |||
| TB: | Introduction to computer science, UCSC genome browser | notes | |
| Sept. 29 | |||
| L: | Genome assembly 2 | ||
| video | |||
| TI: | Introduction to probability, genome coverage by sequencing reads | notes | |
| TB: | Introduction to dynamic programming, introduction to probability | notes | |
| Oct. 6 | |||
| L: | Sequence alignment: Smith-Waterman, Needleman-Wunsch, scoring | ||
| BV chapter 2, DEKM chapter 2.1-2.4, 2.8, ZB chapter 4.1-4.4, 5.1-5.2, video | |||
| TI: | Introduction to dynamic programming, proteomics | notes | |
| TB: | Dynamic programming for sequence alignment, dotplots | notes | |
| Oct. 13 | |||
| L: | Sequence alignment: heuristic alignment (BLAST), statistical significance of alignments, whole genome alignments, multiple alignments | ||
| BV chapter 2, DEKM chapter 2.5, 2.7, 6.1-6.3; ZB chapter 4.5-4.7, 5.3-5.5, video | |||
| TI: | Advanced algorithms for sequence alignment | notes | |
| TB: | Programs for sequence alignment, scoring schemes | notes | |
| Oct. 20 | |||
| L: | Gene finding, hidden Markov models | ||
| BV chapter 4, DEKM chapter 3; ZB chapter 9.3, 10.4-10.7, video | |||
| TI: | Fast similarity search, BLAST, MinHash | notes | |
| TB: | Hidden Markov models, E-value | notes | |
| Oct. 27 | |||
| L: | Phylogenetic tree reconstruction (parsimony, neighbor joining, models of evolution) | ||
| BV chapter 3, DEKM chapter 7,8; ZB chapter 7, 8.1-8.2, video | |||
| TI: | Algorithms for HMM | notes | |
| TB: | Substitution models, bootstrap, tree rooting | notes | |
| Nov. 3 | |||
| L: | Comparative genomics, detection of positive and purification selection, comparative gene finding, phylogenetic HMMs | ||
| BV chapter 5, ZB chapter 9.8, 10.8, video | |||
| TI: | Substitution models | notes | |
| TB: | Phylogenetic trees | notes | |
| Nov. 10 | |||
| L: | Gene expression, clustering, classification, regulatory networks, transcription factors, sequence motifs | ||
| DEKM chapter 5.1, 11.5, ZB chapter 6.6,15.1,16.1-16.5,17.1, SK video | |||
| TI: | Felsenstein algorithm, algorithms for HMM and phyloHMM | SK notes | |
| TB: | K-means clustering, enrichment, multiple testing correction | pdf pdf | SK notes |
| Nov. 17 No lecture, no tutorials | |||
| Nov. 24 | |||
| L: | Protein structure and function | ||
| DEKM chapter 5; ZB chapter 4.8-4.10, 6.1-6.2, 13.1-13.2, SK video | |||
| TI: | Motif finding by EM and Gibbs sampling | SK notes | |
| TB: | Introduction to context-free grammars | SK notes | |
| Dec. 1 | |||
| L: | RNA, secondary structure, Nussinov algorithm, stochastic context-free grammars, RNA family profiles | ||
| DEKM chapter 10, ZB chapter 11.9, SK video | |||
| TI: | Examples of biological databases, HW1 model solutions, introduction to context-free grammars | SK notes | |
| TB: | Genes, comparative genomics, Pfam | SK notes | |
| Dec. 8 | |||
| L: | Population genetics | ||
| SK video | |||
| TI: | RNA structure | ||
| TB: | PSI-BLAST, microarray data, RNA structure, MEME, transcription factors in SGD, population genetics, course summary, graphs | ||
| Dec. 15 | |||
| L: | Optional journal club presentations | ||
| TI: | Course summary, protein threading via integer linear programming | ||
| TB: | Example of command-line tools | ||
