1-BIN-301, 2-AIN-501 Methods in Bioinformatics

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MBI 2022/2023: Rozdiel medzi revíziami

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(Vytvorená stránka „'''Literature:''' * '''BV''': Brejová, Vinař: Metódy v bioinformatike. (preliminary version of lecture notes in Slovak, only several lectures) * '''DEKM''': Durbin...“)
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Verzia zo dňa a času 20:22, 18. september 2023

Literature:

  • BV: Brejová, Vinař: Metódy v bioinformatike. (preliminary version of lecture notes in Slovak, only several lectures)
  • 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

Sept. 22
L: Introduction, course rules, sequencing and genome assembly
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 notes
TB: K-means clustering, enrichment, multiple testing correction 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 notes
TB: Introduction to context-free grammars 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 notes
TB: Genes, comparative genomics, Pfam notes
Dec. 8
L: Population genetics
SK video
TI: RNA structure notes
TB: Example of command-line tools notes
Dec. 15
L: Optional journal club presentations
TI: Course summary, protein threading via integer linear programming notes
TB: PSI-BLAST, microarray data, RNA structure, MEME, transcription factors in SGD, population genetics, course summary, graphs notes