Materials: Rozdiel medzi revíziami
Z MBI
| Riadok 49: | Riadok 49: | ||
<!-- {{Lit2 | BV chapter 2, DEKM chapter 2.1-2.4, 2.8, ZB chapter 4.1-4.4, 5.1-5.2}}, [https://www.youtube.com/watch?v=0GkhkRiqbl4 video] | <!-- {{Lit2 | BV chapter 2, DEKM chapter 2.1-2.4, 2.8, ZB chapter 4.1-4.4, 5.1-5.2}}, [https://www.youtube.com/watch?v=0GkhkRiqbl4 video] | ||
{{R | TI|Introduction to dynamic programming, proteomics | {{pdf|ci-msms}} | [[CI03|notes]] }} | {{R | TI|Introduction to dynamic programming, proteomics | {{pdf|ci-msms}} | [[CI03|notes]] }} | ||
| + | {{Lit2 | Python implementation of DP and visualisations}} [https://colab.research.google.com/drive/14QB903XpAsUFsqfls3rYoSaYRhyNX-So?usp=sharing colab] | ||
{{R | TB|Dynamic programming for sequence alignment, dotplots | {{pdf|cb-dotplots}} | [[CB03|notes]] }} --> | {{R | TB|Dynamic programming for sequence alignment, dotplots | {{pdf|cb-dotplots}} | [[CB03|notes]] }} --> | ||
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Verzia zo dňa a času 13:47, 3. október 2023
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. 21 | |||
| 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. 28 | |||
| L: | Genome assembly 2 | ||
| video | |||
| TI: | Introduction to probability, genome coverage by sequencing reads | notes | |
| Python simulations and approximations colab | |||
| TB: | Introduction to dynamic programming, introduction to probability | notes | |
| Oct. 5 | |||
| L: | Sequence alignment: Smith-Waterman, Needleman-Wunsch, scoring | ||
| Oct. 12 | |||
| L: | Sequence alignment: heuristic alignment (BLAST), statistical significance of alignments, whole genome alignments, multiple alignments | ||
| Oct. 19 | |||
| L: | Gene finding, hidden Markov models | ||
| Oct. 26 | |||
| L: | Phylogenetic tree reconstruction (parsimony, neighbor joining, models of evolution) | ||
| Nov. 2 No lecture, no tutorials | |||
| Nov. 9 | |||
| L: | Comparative genomics, detection of positive and purification selection, comparative gene finding, phylogenetic HMMs | ||
| Nov. 16 | |||
| L: | Gene expression, clustering, classification, regulatory networks, transcription factors, sequence motifs | ||
| Nov. 23 | |||
| L: | Protein structure and function | ||
| Nov. 30 | |||
| L: | RNA, secondary structure, Nussinov algorithm, stochastic context-free grammars, RNA family profiles | ||
| Dec. 7 | |||
| L: | Population genetics | ||
| Dec. 14 | |||
| L: | Optional journal club presentations | ||
